{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cZCM65CBt1CJ"
   },
   "source": [
    "##### Copyright 2019 The TensorFlow Authors.\n",
    "\n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "cellView": "form",
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:02.281716Z",
     "iopub.status.busy": "2024-01-11T22:13:02.281173Z",
     "iopub.status.idle": "2024-01-11T22:13:02.284934Z",
     "shell.execute_reply": "2024-01-11T22:13:02.284365Z"
    },
    "id": "JOgMcEajtkmg"
   },
   "outputs": [],
   "source": [
    "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "# https://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rCSP-dbMw88x"
   },
   "source": [
    "# 画像セグメンテーション"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NEWs8JXRuGex"
   },
   "source": [
    "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
    "  <td><a target=\"_blank\" href=\"https://www.tensorflow.org/tutorials/images/segmentation\"> <img src=\"https://www.tensorflow.org/images/tf_logo_32px.png\"> TensorFlow.org で表示</a></td>\n",
    "  <td><a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/docs-l10n/blob/master/site/ja/tutorials/images/segmentation.ipynb\"> <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\"> Google Colab で実行</a></td>\n",
    "  <td><a target=\"_blank\" href=\"https://github.com/tensorflow/docs-l10n/blob/master/site/ja/tutorials/images/segmentation.ipynb\"> <img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\"> GitHub でソースを表示</a></td>\n",
    "  <td><a href=\"https://storage.googleapis.com/tensorflow_docs/docs-l10n/site/ja/tutorials/images/segmentation.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\">ノートブックをダウンロード</a></td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sMP7mglMuGT2"
   },
   "source": [
    "このチュートリアルでは、修正した <a href=\"https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/\" class=\"external\">U-Net</a> を使用した画像セグメンテーションのタスクに焦点を当てます。\n",
    "\n",
    "## 画像セグメンテーションとは\n",
    "\n",
    "画像分類タスクでは、ネットワークが各入力画像にラベル（またはクラス）を割り当てますが、そのオブジェクトの形状やどのピクセルがどのオブジェクトに属しているかなどを知りたい場合はどうすればよいでしょうか。この場合、画像のピクセルごとにクラスを割り当てる必要があります。このタスクはセグメンテーションとして知られています。セグメンテーションモデルは、画像に関してはるかに詳細な情報を返します。画像セグメンテーションには、医用イメージング、自動走行車、衛星撮像など、数多くの用途があります。\n",
    "\n",
    "このチュートリアルでは [Oxford-IIIT Pet Dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/)（Parkhi <em>et al</em>）を使用します。データセットには、37 種のペット品種と、品種当たり 200 枚の画像（train と test split で約 100 枚ずつ）が含まれます。それぞれの画像には対応するラベルとピクセル方向のマスクが含まれます。マスクは各ピクセルのクラスラベルです。各ピクセルには、次のいずれかのカテゴリが指定されます。\n",
    "\n",
    "- クラス 1 : ペットに属するピクセル。\n",
    "- クラス 2 : ペットと境界のピクセル。\n",
    "- クラス 3: 上記のいずれにも該当しない、または周囲のピクセル。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:02.288547Z",
     "iopub.status.busy": "2024-01-11T22:13:02.288024Z",
     "iopub.status.idle": "2024-01-11T22:13:07.621824Z",
     "shell.execute_reply": "2024-01-11T22:13:07.621010Z"
    },
    "id": "MQmKthrSBCld"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting git+https://github.com/tensorflow/examples.git\r\n",
      "  Cloning https://github.com/tensorflow/examples.git to /tmpfs/tmp/pip-req-build-is38m_f5\r\n",
      "  Running command git clone --filter=blob:none --quiet https://github.com/tensorflow/examples.git /tmpfs/tmp/pip-req-build-is38m_f5\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Resolved https://github.com/tensorflow/examples.git to commit fff4bcda7201645a1efaea4534403daf5fc03d42\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Preparing metadata (setup.py) ... \u001b[?25l-"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b \bdone\r\n",
      "\u001b[?25hRequirement already satisfied: absl-py in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow-examples==0.1703207612.1461250479831370929614362828255168868146460245314) (1.4.0)\r\n",
      "Requirement already satisfied: six in /tmpfs/src/tf_docs_env/lib/python3.9/site-packages (from tensorflow-examples==0.1703207612.1461250479831370929614362828255168868146460245314) (1.16.0)\r\n",
      "Building wheels for collected packages: tensorflow-examples\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Building wheel for tensorflow-examples (setup.py) ... \u001b[?25l-"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b \b\\"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b \bdone\r\n",
      "\u001b[?25h  Created wheel for tensorflow-examples: filename=tensorflow_examples-0.1703207612.1461250479831370929614362828255168868146460245314-py3-none-any.whl size=301582 sha256=f3bcb0f1a1ab12ed779bcec57dc4bc9dcbee107d7f53eabbfd506fd0cc2e319e\r\n",
      "  Stored in directory: /tmpfs/tmp/pip-ephem-wheel-cache-4wsnzotz/wheels/08/f6/82/53a5b86c72bceebba962022c76037c95a9b2912f0719e5b9d2\r\n",
      "Successfully built tensorflow-examples\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing collected packages: tensorflow-examples\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully installed tensorflow-examples-0.1703207612.1461250479831370929614362828255168868146460245314\r\n"
     ]
    }
   ],
   "source": [
    "!pip install git+https://github.com/tensorflow/examples.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:07.625997Z",
     "iopub.status.busy": "2024-01-11T22:13:07.625746Z",
     "iopub.status.idle": "2024-01-11T22:13:10.327886Z",
     "shell.execute_reply": "2024-01-11T22:13:10.327174Z"
    },
    "id": "YQX7R4bhZy5h"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-01-11 22:13:08.059220: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-01-11 22:13:08.059274: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-01-11 22:13:08.060838: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "import tensorflow_datasets as tfds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:10.331699Z",
     "iopub.status.busy": "2024-01-11T22:13:10.331296Z",
     "iopub.status.idle": "2024-01-11T22:13:10.599002Z",
     "shell.execute_reply": "2024-01-11T22:13:10.598336Z"
    },
    "id": "g87--n2AtyO_"
   },
   "outputs": [],
   "source": [
    "from tensorflow_examples.models.pix2pix import pix2pix\n",
    "\n",
    "from IPython.display import clear_output\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oWe0_rQM4JbC"
   },
   "source": [
    "## Oxford-IIIT ペットデータセットをダウンロードする\n",
    "\n",
    "データセットは [TensorFlow Datasets から入手できます](https://www.tensorflow.org/datasets/catalog/oxford_iiit_pet)。セグメンテーションマスクはバージョン 3 以上に含まれています。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:10.602743Z",
     "iopub.status.busy": "2024-01-11T22:13:10.602480Z",
     "iopub.status.idle": "2024-01-11T22:13:14.370059Z",
     "shell.execute_reply": "2024-01-11T22:13:14.369286Z"
    },
    "id": "40ITeStwDwZb"
   },
   "outputs": [],
   "source": [
    "dataset, info = tfds.load('oxford_iiit_pet:3.*.*', with_info=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rJcVdj_U4vzf"
   },
   "source": [
    "また、画像の色値は `[0,1]` の範囲に正規化されています。最後に、上記で説明したとおり、セグメンテーションのマスクは {1, 2, 3} のいずれかでラベル付けされています。便宜上、セグメンテーションマスクから 1 を減算して、ラベルを {0, 1, 2} としましょう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.374415Z",
     "iopub.status.busy": "2024-01-11T22:13:14.374128Z",
     "iopub.status.idle": "2024-01-11T22:13:14.377728Z",
     "shell.execute_reply": "2024-01-11T22:13:14.377033Z"
    },
    "id": "FD60EbcAQqov"
   },
   "outputs": [],
   "source": [
    "def normalize(input_image, input_mask):\n",
    "  input_image = tf.cast(input_image, tf.float32) / 255.0\n",
    "  input_mask -= 1\n",
    "  return input_image, input_mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.380765Z",
     "iopub.status.busy": "2024-01-11T22:13:14.380525Z",
     "iopub.status.idle": "2024-01-11T22:13:14.384626Z",
     "shell.execute_reply": "2024-01-11T22:13:14.383961Z"
    },
    "id": "Zf0S67hJRp3D"
   },
   "outputs": [],
   "source": [
    "def load_image(datapoint):\n",
    "  input_image = tf.image.resize(datapoint['image'], (128, 128))\n",
    "  input_mask = tf.image.resize(\n",
    "    datapoint['segmentation_mask'],\n",
    "    (128, 128),\n",
    "    method = tf.image.ResizeMethod.NEAREST_NEIGHBOR,\n",
    "  )\n",
    "\n",
    "  input_image, input_mask = normalize(input_image, input_mask)\n",
    "\n",
    "  return input_image, input_mask"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "65-qHTjX5VZh"
   },
   "source": [
    "データセットにはすでに必要となる training と test split が含まれているため、そのまま同じ split を使用します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.387612Z",
     "iopub.status.busy": "2024-01-11T22:13:14.387361Z",
     "iopub.status.idle": "2024-01-11T22:13:14.390664Z",
     "shell.execute_reply": "2024-01-11T22:13:14.390073Z"
    },
    "id": "yHwj2-8SaQli"
   },
   "outputs": [],
   "source": [
    "TRAIN_LENGTH = info.splits['train'].num_examples\n",
    "BATCH_SIZE = 64\n",
    "BUFFER_SIZE = 1000\n",
    "STEPS_PER_EPOCH = TRAIN_LENGTH // BATCH_SIZE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.393549Z",
     "iopub.status.busy": "2024-01-11T22:13:14.393271Z",
     "iopub.status.idle": "2024-01-11T22:13:14.483634Z",
     "shell.execute_reply": "2024-01-11T22:13:14.482987Z"
    },
    "id": "39fYScNz9lmo"
   },
   "outputs": [],
   "source": [
    "train_images = dataset['train'].map(load_image, num_parallel_calls=tf.data.AUTOTUNE)\n",
    "test_images = dataset['test'].map(load_image, num_parallel_calls=tf.data.AUTOTUNE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "T9hGHyg8L3Y1"
   },
   "source": [
    "次のクラスは、画像をランダムにフリップする単純な拡張を実行します。詳細は、[画像のデータ拡張](data_augmentation.ipynb)チュートリアルをご覧ください。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.486832Z",
     "iopub.status.busy": "2024-01-11T22:13:14.486610Z",
     "iopub.status.idle": "2024-01-11T22:13:14.490931Z",
     "shell.execute_reply": "2024-01-11T22:13:14.490345Z"
    },
    "id": "fUWdDJRTL0PP"
   },
   "outputs": [],
   "source": [
    "class Augment(tf.keras.layers.Layer):\n",
    "  def __init__(self, seed=42):\n",
    "    super().__init__()\n",
    "    # both use the same seed, so they'll make the same random changes.\n",
    "    self.augment_inputs = tf.keras.layers.RandomFlip(mode=\"horizontal\", seed=seed)\n",
    "    self.augment_labels = tf.keras.layers.RandomFlip(mode=\"horizontal\", seed=seed)\n",
    "  \n",
    "  def call(self, inputs, labels):\n",
    "    inputs = self.augment_inputs(inputs)\n",
    "    labels = self.augment_labels(labels)\n",
    "    return inputs, labels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xTIbNIBdcgL3"
   },
   "source": [
    "入力パイプラインを構築し、入力をバッチ処理した後に拡張を適用します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.493893Z",
     "iopub.status.busy": "2024-01-11T22:13:14.493649Z",
     "iopub.status.idle": "2024-01-11T22:13:14.677772Z",
     "shell.execute_reply": "2024-01-11T22:13:14.677125Z"
    },
    "id": "VPscskQcNCx4"
   },
   "outputs": [],
   "source": [
    "train_batches = (\n",
    "    train_images\n",
    "    .cache()\n",
    "    .shuffle(BUFFER_SIZE)\n",
    "    .batch(BATCH_SIZE)\n",
    "    .repeat()\n",
    "    .map(Augment())\n",
    "    .prefetch(buffer_size=tf.data.AUTOTUNE))\n",
    "\n",
    "test_batches = test_images.batch(BATCH_SIZE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Xa3gMAE_9qNa"
   },
   "source": [
    "データセットの画像サンプルと対応するマスクを可視化しましょう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.681640Z",
     "iopub.status.busy": "2024-01-11T22:13:14.681044Z",
     "iopub.status.idle": "2024-01-11T22:13:14.685482Z",
     "shell.execute_reply": "2024-01-11T22:13:14.684824Z"
    },
    "id": "3N2RPAAW9q4W"
   },
   "outputs": [],
   "source": [
    "def display(display_list):\n",
    "  plt.figure(figsize=(15, 15))\n",
    "\n",
    "  title = ['Input Image', 'True Mask', 'Predicted Mask']\n",
    "\n",
    "  for i in range(len(display_list)):\n",
    "    plt.subplot(1, len(display_list), i+1)\n",
    "    plt.title(title[i])\n",
    "    plt.imshow(tf.keras.utils.array_to_img(display_list[i]))\n",
    "    plt.axis('off')\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:14.688624Z",
     "iopub.status.busy": "2024-01-11T22:13:14.688388Z",
     "iopub.status.idle": "2024-01-11T22:13:16.554782Z",
     "shell.execute_reply": "2024-01-11T22:13:16.554030Z"
    },
    "id": "a6u_Rblkteqb"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Corrupt JPEG data: 240 extraneous bytes before marker 0xd9\n",
      "Corrupt JPEG data: premature end of data segment\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-01-11 22:13:16.387628: W tensorflow/core/kernels/data/cache_dataset_ops.cc:858] The calling iterator did not fully read the dataset being cached. In order to avoid unexpected truncation of the dataset, the partially cached contents of the dataset  will be discarded. This can happen if you have an input pipeline similar to `dataset.cache().take(k).repeat()`. You should use `dataset.take(k).cache().repeat()` instead.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJ4AAAI6CAYAAABmToIoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8g+/7EAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9ebRuZ1Xnj87Vv32z+71P3yXhpCFABCmaBJCbgcBPqFJMcS0DIjVSZVllAzW06grBsiwdSkmJVkWLukinKIiKIsRogQ1ECEJCEpKcnJPT7r3P7t6+Wf26f2R4Lt+5NsmO5M05Sb6fMRjDud/VzGc+83nWceXdn21kWZYJIYQQQgghhBBCCCFPMubFToAQQgghhBBCCCGEPDPhiydCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIROCLJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETgS+eCCGEEEIIIYQQQshE4IsnQgghhBBCCCGXLG95y1ukUqlc7DQIIf9E+OKJkIvM7/zO74hhGPLVr371YqciIiKj0UhuvfVW+cIXvrCj47/whS+IYRjyyU9+crKJEUIIIYQ8gzAMY0f/2+m/ySbFDTfcIIZhyJEjR7b9/I477riQK/89SAjZDvtiJ0AIubQYjUbynve8R0Qe/YcGIYQQQgh58vnIRz4C8Yc//GG54447cj9/znOe81SmtS2FQkGOHz8uX/nKV+SFL3whfPaxj31MCoWC+L5/kbIjhFzq8MUTIYQQQgghhDzF/NAP/RDEf//3fy933HFH7uea0WgkpVJpkqnlOHTokMRxLL/3e78HL55835c/+qM/kte+9rXyh3/4h09pToSQpw/8VTtCLkH+8ffYl5eX5Q1veINUKhWZnZ2Vd7zjHZIkyYXjTp06JYZhyK/+6q/Kr/3ar8m+ffukWCzK9ddfL/fddx9c84Ybbtj2G0xvectbZP/+/ReuNzs7KyIi73nPey58bfrWW299QvnfeuutYhiGHDt2TH7oh35I6vW6zM7Oys/93M9JlmVy9uxZ+b7v+z6p1WqysLAg733ve+H8MAzlXe96l7zgBS+Qer0u5XJZXvayl8nnP//53L22trbkX/2rfyW1Wk0ajYbcfPPNcs8994hhGPI7v/M7cOyDDz4o3//93y9TU1NSKBTkuuuuk09/+tNPaGyEEEIIIU8VN9xwg1x11VXyD//wD/Lyl79cSqWS/Kf/9J9ERL7tv9H2798vb3nLW+BnnU5HfuInfkL27NkjnufJ4cOH5Zd/+ZclTdMd5/Iv/+W/lN///d+Hc/70T/9URqORvOlNb8odf/r0afm3//bfyuWXXy7FYlGmp6flB37gB+TUqVNwXBRF8p73vEeOHDkihUJBpqen5aUvfanccccdj5nP3XffLbOzs3LDDTfIYDDY8TgIIU89fPFEyCVKkiRy4403yvT0tPzqr/6qXH/99fLe975Xfvu3fzt37Ic//GH59V//dfmxH/sx+dmf/Vm577775JWvfKWsra09oXvOzs7K//pf/0tERN74xjfKRz7yEfnIRz4i//yf//N/0hh+8Ad/UNI0lV/6pV+SF73oRfILv/AL8r73vU9e/epXy65du+SXf/mX5fDhw/KOd7xD/uZv/ubCeb1eTz7wgQ/IDTfcIL/8y78st956q2xsbMiNN94od99994Xj0jSV17/+9fJ7v/d7cvPNN8t//a//VVZXV+Xmm2/O5XL//ffLd3/3d8sDDzwgP/MzPyPvfe97pVwuyxve8Ab5oz/6o3/S+AghhBBCJs3W1pa85jWvkWuvvVbe9773ySte8YondP5oNJLrr79ePvrRj8oP//APy6//+q/LS17yEvnZn/1Z+amf+qkdX+fNb36zrK6ugnPqd3/3d+VVr3qVzM3N5Y6/66675Etf+pLcdNNN8uu//utyyy23yF/91V/JDTfcIKPR6MJxt956q7znPe+RV7ziFfIbv/Eb8p//83+WvXv3yte+9rVvm8tdd90lr3zlK+V5z3uefPazn6V4nJBLnYwQclH54Ac/mIlIdtddd1342c0335yJSPbzP//zcOzznve87AUveMGF+OTJk5mIZMViMTt37tyFn3/5y1/ORCT7yZ/8yQs/u/7667Prr78+d/+bb74527dv34V4Y2MjE5Hs3e9+947y//znP5+JSPaJT3ziws/e/e53ZyKS/et//a8v/CyO42z37t2ZYRjZL/3SL134ebvdzorFYnbzzTfDsUEQwH3a7XY2Pz+f/ciP/MiFn/3hH/5hJiLZ+973vgs/S5Ike+UrX5mJSPbBD37wws9f9apXZVdffXXm+/6Fn6Vpmv2zf/bPsiNHjuxorIQQQgghk+LHfuzHMv3/nl1//fWZiGS33XZb7vhv9++1ffv2wb+r/st/+S9ZuVzOjh07Bsf9zM/8TGZZVnbmzJnHzOv666/PrrzyyizLsuy6667L3va2t2VZ9ui/zVzXzT70oQ9t++/B0WiUu9add96ZiUj24Q9/+MLPnvvc52avfe1rHzOHm2++OSuXy1mWZdnf/d3fZbVaLXvta18L/64jhFy68BtPhFzC3HLLLRC/7GUvk0ceeSR33Bve8AbZtWvXhfiFL3yhvOhFL5I///M/n3iOj8WP/uiPXvi/LcuS6667TrIsk7e97W0Xft5oNOTyyy+HcVmWJa7risij32pqtVoSx7Fcd9118F+/Pve5z4njOPL2t7/9ws9M05Qf+7EfgzxarZb83//7f+VNb3qT9Pt92dzclM3NTdna2pIbb7xRHn74YVleXn7Sx08IIYQQ8p3ieZ689a1v/Sef/4lPfEJe9rKXSbPZvPBvoM3NTfme7/keSZIEvnX+eLz5zW+WT33qUxKGoXzyk58Uy7LkjW9847bHFovFC/93FEWytbUlhw8flkajAf+eazQacv/998vDDz/8uPf//Oc/LzfeeKO86lWvkk996lPied6OcyeEXDz44omQS5RCoXDBt/SPNJtNabfbuWO3+/O2l112We536J9q9u7dC3G9XpdCoSAzMzO5n+txfehDH5Jrrrnmwu/6z87Oymc+8xnpdrsXjjl9+rQsLi7mBJuHDx+G+Pjx45Jlmfzcz/2czM7Owv/e/e53i4jI+vr6dzxeQgghhJAnm127dl34D3L/FB5++GH53Oc+l/s30Pd8z/eIyBP7N9BNN90k3W5XPvvZz8rHPvYxed3rXifVanXbY8fjsbzrXe+64JWamZmR2dlZ6XQ68O+5n//5n5dOpyOXXXaZXH311fLOd75TvvGNb+Su5/u+vPa1r5XnPe958gd/8AffUU0IIU8t/Kt2hFyiWJb1pF7PMAzJsiz382+VlT/ZbDeGbzeub83tox/9qLzlLW+RN7zhDfLOd75T5ubmxLIs+W//7b/JiRMnnnAe/yjBfMc73iE33njjtsfol1WEEEIIIZcC3/rNoZ2g/22Xpqm8+tWvlv/4H//jtsdfdtllO7724uKi3HDDDfLe975XvvjFLz7mX7L78R//cfngBz8oP/ETPyEvfvGLpV6vi2EYctNNN4Gg/OUvf7mcOHFC/uRP/kT+4i/+Qj7wgQ/Ir/3ar8ltt90G3573PE++93u/V/7kT/5EPve5z8nrXve6HedNCLm48MUTIc8Atvtq8rFjxy78tTqRR78ttd2v6Z0+fRpiwzCe9PyeKJ/85Cfl4MGD8qlPfQry+cdvJ/0j+/btk89//vO5Pyt8/PhxOO7gwYMiIuI4zoX/ukcIIYQQ8nSm2WxKp9OBn4VhKKurq/CzQ4cOyWAweNL+DfTmN79ZfvRHf1QajYZ87/d+77c97pOf/KTcfPPN8NeLfd/P5SwiMjU1JW9961vlrW99qwwGA3n5y18ut956K7x4MgxDPvaxj8n3fd/3yQ/8wA/IZz/72W3/YjMh5NKDv2pHyDOAP/7jPwZH0Ve+8hX58pe/LK95zWsu/OzQoUPy4IMPysbGxoWf3XPPPfLFL34RrvWPL3C2+0fBU8U/fivqW78F9eUvf1nuvPNOOO7GG2+UKIrkf//v/33hZ2maym/+5m/CcXNzc3LDDTfIb/3Wb+X+MSYiUBNCCCGEkKcDhw4dyvmZfvu3fzv3jac3velNcuedd8rtt9+eu0an05E4jp/Qfb//+79f3v3ud8v//J//8zF/3c2yrNy37d///vfn8tva2oK4UqnI4cOHJQiC3DVd15VPfepT8l3f9V3y+te/Xr7yla88odwJIRcHfuOJkGcAhw8flpe+9KXyb/7Nv5EgCOR973ufTE9Pw1eqf+RHfkT++3//73LjjTfK2972NllfX5fbbrtNrrzySun1eheOKxaLcvToUfn93/99ueyyy2Rqakquuuoqueqqq56y8bzuda+TT33qU/LGN75RXvva18rJkyfltttuk6NHj8pgMLhw3Bve8AZ54QtfKD/90z8tx48flyuuuEI+/elPS6vVEhH89tZv/uZvyktf+lK5+uqr5e1vf7scPHhQ1tbW5M4775Rz587JPffc85SNjxBCCCHkO+VHf/RH5ZZbbpF/8S/+hbz61a+We+65R26//facS/Od73ynfPrTn5bXve518pa3vEVe8IIXyHA4lHvvvVc++clPyqlTp3LnPBb1el1uvfXWxz3uda97nXzkIx+Rer0uR48elTvvvFP+8i//Uqanp+G4o0ePyg033CAveMELZGpqSr761a/KJz/5Sfl3/+7fbXvdYrEof/ZnfyavfOUr5TWveY389V//9VP671RCyBOHL54IeQbwwz/8w2Kaprzvfe+T9fV1eeELXyi/8Ru/IYuLixeOec5zniMf/vCH5V3vepf81E/9lBw9elQ+8pGPyO/+7u/KF77wBbjeBz7wAfnxH/9x+cmf/EkJw1De/e53P6UP9Le85S1y/vx5+a3f+i25/fbb5ejRo/LRj35UPvGJT0CulmXJZz7zGfkP/+E/yIc+9CExTVPe+MY3yrvf/W55yUteIoVC4cKxR48ela9+9avynve8R37nd35Htra2ZG5uTp73vOfJu971rqdsbIQQQgghTwZvf/vb5eTJk/J//s//kc997nPyspe9TO644w551ateBceVSiX567/+a/nFX/xF+cQnPiEf/vCHpVaryWWXXSbvec97pF6vTyS///E//odYliUf+9jHxPd9eclLXiJ/+Zd/mfNt/vt//+/l05/+tPzFX/yFBEEg+/btk1/4hV+Qd77znd/22rVaTW6//XZ5+ctfLq9+9avlb//2b+nrJOQSxsi2sw0TQp4WnDp1Sg4cOCC/8iu/Iu94xzsudjqXDH/8x38sb3zjG+Xv/u7v5CUvecnFTocQQgghhBBCnrXQ8UQIeVozHo8hTpJE3v/+90utVpPnP//5FykrQgghhBBCCCEi/FU7QsjTnB//8R+X8XgsL37xiyUIAvnUpz4lX/rSl+QXf/EXn/CfHyaEEEIIIYQQ8uTCF0+EkKc1r3zlK+W9732v/Nmf/Zn4vi+HDx+W97///d9WSEkIIYQQQggh5KmDjidCCCGEEEIIIYQQMhHoeCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIROCLJ0IIIYQQQgghhBAyEXYsF//0/3oPxGYSQxz4IV7YzF86ToYQ+6MI4tn5GYi9ZgUvYFgYFjyIyx7eMxj5uRwMF//K1WjYh/j8agvi1HAg3ntgL8TPueYyiGNJc/cMOlsQVxs4zhPHj0M86K1AfOjICyF2HHxfuHIWz6/O7M/lsHv/FRBbtgFxluBc9Lqr6p5liM0EazsadvH6uQxEyrUmxIkqVSYJxMN+Wx2AnxeK2IOGNZW7ZxyMIDadEuZZwHG5Fs53lGBf+2EAsZfiIJwMcxIRMQRraxZqEAfJGOJSZR5zNLGao+4GxHGSv2eY4fx4Lta+XJuFOApwbfb7PYgrtTnMYbSpro91FREJI8wh7Hcgtj2spWVgXzsmzkXg4zgzI7/WNF6hitesLkDs+zg3H/3QByBuD3EMAS4baZQKuXuOE+zbzmgA8WwJ96BWD8eRZZhTlOK4V1ZxrkRESnUX4oUZ7OsZD/fSM4MOxKah9koDx1VUK9qztnl06EXvYO0t9UxwCji/lQquC73WquV8j5UrOK7MwgnaNY177a7mNMQzNcwxS3GPCXtY6+Ory7kcqnXMa9bFcdgW9rXt4HNr2O1grHLY7OEzSkSkXmtAPGrh/hukWIc0xtp3x9iTVRvnotHEMW20cT8QEREL+7jTwWvaai+86e3vzF+DXFKk549c7BTIJcyhj99ysVMghBByiXLyJ376cY/hN54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhF2/Kt2pmQQl0v4VX7Xwl8faPXxV5xERIZj/Op9rax+TUL9StEgwF85aDTw+FD9KsYgwF+LqtfwVwFERGqz+KsW/R7mbZsYGwX8FZbadANif4y/itHaWMvd0wyxFuMQx3X46usgHvbxV+2q1V0QhwH+Kk+5hr9WU3bz09rpYF6p+vWdIOhAPFXFOqWJ/rVFHEOpjHWzbPVrkiLih/grRIb6dT9P/bpHvYbX8Af46yRZpH6laTP/6yBFF+dv1MNflSlU8dfzkjr+ilFrE+9ZbuCvrJkV/FUew63ncpAIrzFOcNxxgL+25ncehNhSv9ZUqOE9zTj/K6XxAK9pqd9SGkQdiIsFzLtaxl9BMiycu1JZ/TqRjT0oImI7WEvHxD2k130YczSxtm4Je6oxjT2ZZfn35oGvfjUuxDgZ4K+9Jhn23Jv+n9dA/Dd//1WIV7s4l4aXX2uby3iPtS31a4uqzx0H96lza7inVGt4/IEDWAcREc/FvVP/9qVVwQZYUr9K99DmaYgH6tcijywsQlyu53+tdTDAX1MuqF9j1ft7pOYiUPt5amBtt7b51elxgOfo/5QS+upXSNU9V1bx18NaPYyvv+5aiC+7/JpcDvEI5zdOcG+01XzHJu5JhWn81drBJu7VC3P4a64iImmEe8hArTVbPWMwEklj/PXOUgXnKlbnW9usteMnz0E8P499WbFx/ZKnH/zVKkIIIYQ8WfAbT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCHzxRAghhBBCCCGEEEImwo4dT/UyeinOraNfJ1JulbnaNs6XFG83W0UvhVfDeO4w/mnfrvoT4M4APRXLZ/DPzCeZNluIbG2ihyRUf+J7Qf35bbeC/hVP/UlvR/159Vop/ye/TUe5jWL0jvROH4c4Kip/UgFrO2yvQtzeRCfU7K6juRzsgvIlKYfLyvoZiAP1J+D1X65f3LUbcx6jXyuJ83/y3StiDnGM54Q++lpi5ecpFht4QRPrVFNzISLiKD+S56J3JDVxfgtlvMe+qf0Q9wboc+n38U+de0Ul1xGRtI996RRxbdQr6DbKiliHUK2twRa6VerNvG9HLKyNp+Y/VRKgYRfXc+rh3IiP76hNB8dQc/NOL71eJcBaGVlRxTg3mfKEZbb20OT/zHyhiPuUn2AtkxDH5Si3zcYWeqjCMvZPov4svVvCPUtEZNrfC7Ht4DXNFPeD0VjtnXO4h5Q8PL5cytd6FKA/qVLGBdvrYg+aymW3bwp7yJhBL1FjqgFxmqn+EJG5Bu6dfdRhSagcTbGPB1QsXAeDcKzuYInmZHtdXQP71Nu9B+KhdhWNcNM4vIh1cNRcnW/j2hMRqXqYV7uDa2m+jntlpYQ95AveY//hKyAeDHAvFhFZO4vjToY4H7GB47RsXBdzs1jr6ozyhoV4T6WpEhGRvT564YZ93PP9EvY9IYQQQgh59sJvPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCDt2PGUJvqM6sDQPcWsD3UmjKO93aNZrEDvKTbN4aBfEsYvpddfQ+VGy8B4HD8xB3BlqR4hIsVyFWCl/ZDhEP0dmoDsjTdGdYsoIr+/k3+UZyuFhFtHhkil/xmoHnU3ZGM9vTqGfw3HxAoaVn9YswmvU6g3MKUZPSaOKnw87OL+rp09AXCpgDjXlexERSZSzJY4xp4JyH3kuOoBGww7EbhlrnW7Tzt0+zmdD+XHCEL0kpvIOBX30aRmqjl6M8y9jFYuIWVAuI8GeGiqHUxJgXxuifTtLEFtF7AcRkeki+lf8EJ1PlqDjyVC+LDPp4PEFXO+2g+soDPM+teY0uo5MA2snFnpnDLVlRGOcG0P7eyqYg4hIMMC1U1U9NfLR0SUx9uSePbgHndzAPh9beHyk1qaIiO93IB6OMe9dM7hPVcq49qwSbkqD/hpeb5T3iMUpOnli1TMVD/sh9XCtDMbK+TVUvp4AHVHlWl76o5azpCautRIuAym5mNNKexPixMD+GEb5cQ8G+LO9+w+oI7C2UYBJ9tU4Wz56w1Z62JRJhvuJiMiueVyPc0qIlATnIXYd3P8XFrEfui2sg2Hm5XW7d89CnCZqD1H+vEQ9v3vKt3X2JLqrFmbRXWZtI3nauw9z6A9xLkKVEyGEEEIIefbCbzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQh88UQIIYQQQgghhBBCJsKO5eKJg4LTzQFKdr0yCnEzB6WuIiKDBK8RhyhivvPv74a4WUS57PzeRbynieJXz8Pj7WI+hyBAOXixhsLzhoEl8f0u5jxE+exAyal7I4xFRCTD93ulGZSwmgWs3bCFtS2j11n6PRQke2UUv2Zmflq3tlBw25iehrg5g6LYegWF1WUTpbzrZ05BXJ1GKbPjoNxWRMS1UTZctHAukhhrnRgouPW7+HmWYB2TVNmLRaTZxHFGQQBxpYHjDPpY2zhDQW4YY87VIvaP5J36EkVKqp4oQX0R10W9iVJup4ry4TRGkXQ0yPdcbOAxrom1SU3sGdPGHux0UDY8U9mN56dYlzTOr7XeCIX0noU9EUVYBy2CdpWUf+SrdaHqIiJSUKL9WAnKA8G8G2XcU4ZqT7ILSgR/EuXSvUH+DxhUa/hHEwzB+TVczKHdVWLwAOdqq4NycdvK//eCppLJV90GXjNF+fsgwHuO+lj7ttr3TGV+T9K8bHpa7be++u8a9TLmtFRB8fu5TVx7oYnnJ6nuF5F987g5WlXsY6OGe2Hm4zWsAvaYFWId108ew8+32Vsr6g8SJDUlk2/iPrU4i32bhFjbgdovap76CxgiEupjaigsdwRz2uxhX1dtfFaO1TrxHMzp7PlOLod2H5+FVfW8rlVx/yaEEEIIIc9e+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRNhx46nyhS6bA4/F50+vQ30kPSHecfPeBOdL4M2ekSmq+jbufwy5ZUx0SHSrKPXotVG/0rSzbtvFhfQZdRub0G81kcXxspJzPm7X/IciKf2XgZx7+yJ3D1H6+sQlxcbEJsmOjyCEP0djTJ6R06tnMXzC+hvGa4+ksuhqF4xmmOsZX+AOc4sHITYmj4M8a4SzpWh/D3DIc6FiEgkOB9WYQavkaBvJR6h82V2zyG8XoT9Mx6hO+fRi6KLpjm7D2Lt8MoMnH8jxnEVlNPJLGIdvAJ6rEREKo76mY1umyzYxNjDe6TKG5XZ6G9xa+hWERGxQuXHibE2npq/WM3/yMa6GRn2pKl8O24BvUYiIhUH8xyPVyDOUsy7qBxAotZBpYFuHMPMe4bCCIuV2uj06vZxvWeC9/z7B/4O4s46+nniNm6ZhVo1l0OUYQ5xhj6laoa1X+9uQHyuo/ctXN+Lpfy4LRc9Uv0B1noQ417ZlQ7ED92rnE4WjmF6Fn09Vox1ERGZKuA9DAN7pNvF2u9SDqBaA/ulPcIcmrbyqYlIwVO1sNS+dhbXVl/9t5aGeuas9dBbJAYeXyzlH5mjEdbCVuf4Dvbx2rkHMId5dLotzixAHIyxh0VEilWsVUH5DQMfe2ixgrUeR7gfFARdeFvqWTpXz/d5zcFxxjHm2WthT5FLn0Mfv+Vip0AIIYSQZyj8xhMhhBBCCCGEEEIImQh88UQIIYQQQgghhBBCJgJfPBFCCCGEEEIIIYSQibBjx5OrHA8PPvQwxIem0WNjTOddN6UU/TkzDXzv5RbRfeOVMLbKePxWFx0Sroef1xv54aWC3pCKUoRM7UGf0oED6N8IY3RnDIbKEdTIu24c5duIx+jX2FAOqE6IdfJK6M+qzeA9XAevX27O53KwHKzlcHQeYttStUrRGRP66CkJfMyxVkNfU6WCrhURkUEPXTfJ4DTmWEaHS5RgnUZtPN9w8R6+kXcdZX10lWQZjqtQwT6tWOg6GYzQ8VQqNCBODfRz4dUfJRwr14mDzh7Hwdob+n1wjK4cEXTKBNv4tAplHFccYA7xWJ1jYu0aM+hXM7RnSuWQGTgmEZHExHE4HtbWLaB3xsxwvmMb65KoMkRDdICJiARqfrO0nzvmW7nn5FchfuRMB2JD31T1nOvlxz0Y4j1bfcyzYuC4xmPMeWsF56pZxB78+jLmKCLy8mtw7YwizKuotuM///NjEE9X0HVkqr1zOFAOqKiRy8FYwD3ivFqvB+t4j1DtMamNtZ5qojPKyTAWESnNqn1N3bMzwH3KtLEubhHns9DEHOwB9miaoYdORCQcok9rmDQwVl6oWeWBcwx0I0UZ5izb7GtRgMekCa7H/kDttaL8eUOcq9jDfSyKsYen67h2RUS2AuWuauE9xtF2uyEhhBBCCHk2wm88EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQi8MUTIYQQQgghhBBCCJkIO3Y8LZTRdbH7qishzmyUwGiPhYiI30CPxJmHTkCcJOjfiDroPvKGmG6xgM4Pz1XulJIS04hIqYg5hOVdENvDljoBx+2f3oTYFXRtuPPoOhIRcRbQEzXu4z0KyulUtfF9YEWNM3FRTJWaOO4gRCeMiMhUFR0d4xHeo9HEz8MIvVGOh/OpnU7+sAOxGSuvkYhEY7xm0VWOH+UNsl30t4zG6B0pJOgUKbnF3D2Ltf2Yp7rGqLsBseOiy8y2MQe7gPcw3AbEmZ/3DullZjk47iRG35JtYo9mpvLKpMqdVM6PO1GOH0vVxiku4CUD7MlkgOfbJezBLMA6RkN0homIhD7mabnKE2OgT8ezsa+9CvrWwgDr5Con2KMHYY99/eRxiMsZzkVnE/06lTrOzWAV12asllZ/pZNL4fQa1sJSrqukjPO5MIXOtlIBe3B5HXvq6n1554+n9ttY8Bg/whzmZmfx/ATrUldOv/kZjCslJccTEaeMjq5SC3skVE6gseC4BwP8vOLg/h0n+bVVqCsPoI3OJluwj1e2OhCnIdal2sS6FGexjrUkP24rxp8tNHGtlW2cb1u57k4PMKd9V2IPepLvc7+7hT/IlJtKMCdDua3MIs5nFGKOkY/X6yn/moiIoZ5DlRruEaaPa4sQQgghhDx74TeeCCGEEEIIIYQQQshE4IsnQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEyEHTue/AT9OyUX3Rcl5YBJEvR1iIiYyoez5zL0RHW20LeTBeidcDP0t2TK5+HOoremUMnnEAn6c4IIx9XtoEemMMIcivPoAElNzGHj7KncPTfPoReqNoVekjgyIG5MYy07W+i6Ks/PQWxY+P6w3Vb+DxEZjtHRkUR4TKWIvg7bwdhMVe0TlN246hWm4eW9JJlgrSyvife0sQ4jvwNxvYleKcdCB8w4r/QSx8VaBj76Vcr1PZhTEY+PAvTKpII5ZsoZZTvYXyIiplo7poFxGKFHSJSfJYvRt2I5uGyTsT5fJFVum8zCvK0MP08ynBuvOQ+xoXxaYYSxZeWLbyk3maPWvyQ4rvEQezLt4boRC3Mu2/laj5R76opduMeIcvQcf+SvIPa3cP0XPfT1DEO8fsnBtSwicmRhP8QDH69pqHVg6F1YKbsOHsF9zTPzTq9ghD4dx0XnUxRgz80oP1bsq9paOHfxGHMeSd7fM7u7gXl6uOfEKfagHWPPOGPsqVGAnrhqFa8vIjLq4jEbK8qfV8UeWazhNe69/yTER6/G4z0bXUhzsxiLiITK8eTUsLaBgXtlpYnPznmlcAsGeHwrxf1fREQyPMnvYi2tEq6t6SZ6o4wEN+xxiM/KVHnkTp1Va1FEamUcd73RgDjIn0IIIYSQx+HETbc95fc89PFbnvJ7kmcf/MYTIYQQQgghhBBCCJkIfPFECCGEEEIIIYQQQiYCXzwRQgghhBBCCCGEkImwY8eTq9w3wRC9JVmELhzLyr/TMg3lx7HRQzE1jy4Ty8TPDeXnefChcxD7BvpW/AgdIyIijoVD9pX7qFJCx0drA70zmYuuDNdB98n4fF5ssWsJx5UV0M+R2JjTWPl3ylX0irgm+pYqtf0QW17efROM8JqhoBOkpJwwlXIDcxyfgXjYOg+xXcLjo3Her1WdWoS431+DODPQn2Wq9jRddKeEoxWI/TH2h4iIL+gNK1fQj5XGHTyhh7E/xvl0K+iZ8kroQtr2Xa7qezG06wp7yrIbeEVPOaGUCylLcZ2IiNhq/fX6yxAnPva9Z7vqc1zPYzUXjurZOMzXPskwb9tCp1cU4Dm2dlclWLc0wr4Pkrzb6uzWwxAfWrgWYtPFtXR410GIT53GfqnMok+pt4l16Y8xFhFxDTynbGHPRMrpFkbo9CmrPSZNcW5GA1zLIiKb59E9lRk4/6US7o1FG9dSW3morAiPN9XcWJJ3HUmCP6sVlD8vQFdRaOA46hW1f1sY28opJCLimthDtWmVV4RrLTNwrbzgqqsgLpVx7zQDnMutthIyiUhvhH1ZUO5B7UM818P1W1XPudlZHKffzd+z3cF9aX7PLogN5eD7+tdwv67VpyGeUrUN1D4WCY5BRMSw8Gex8kJ5lbyLjBBCCHmmcTGcTE82OxkDPVDkO4XfeCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIROCLJ0IIIYQQQgghhBAyEXbseIoS9HUMOuipMJVfp9XOO36KHrovKnNz6nP0a3S66E/ptbsQL+xCd1K3i5/P7UKnkIiIZSrvUwlz6gzQt+HW0X1kWHWIa3X0XEzX816LLEFHR6j8OuVZdN84YQdiz0X/hmnh9bpbJzHu510o1Zn9EBc99KeUipj3YO2bEI83zmKOqKGRNEVnVOgHuRx8C/NqVNGPlBUwhyjCm+g6uqounpOfb/Fw/sIR9m0wwr51bLyma2J/2Ca+q01C9AzZyp316EHKVaT8S/4I/TpFV91jpF1YWIfRANemiEhiYl/aJvp0PNVD2QidMaMxHp+oCffVMO18y0maom8njTBPS41Du7CsIp5vqrr4fXR8iYj4Ifp2XHWOpVxkL/iuV0B89MghiL9x9z0Q34vtIxL2RdNqKd+di+MyBIvluMrx1sfidjvYH502jlFE5NRp9N2Va1g7x8Qcohhr32g08J49vMdsEdfqoJP357VXce+MtZooxR4a9/D4YgHrkCXKz5Tl77mxhbUJR7g/N9X+XKzhfmD5an0rRdSUhc8kvW+KiNTLytlm4zmVJvq0vAB70gy1uwz3Tu2AExHxA6zV+U189i3NYg6LTazL+qaq2xiP370fc059dEaJiJhlrMVQHbO1kV8bhBBCyNOJZ4K/6cni8WpBBxR5PPiNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOJzdDH4cdos8hjPAd1sxMI3eNKMBzanV0G3kz6HxKkxN4gTH6dAplvMfsvl0QtzpayCLy9S89BLEdY077LtsLsYVqFLFcPH6wjj4XT/IeEq+K7iK7MguxO4Vx2EO/jsQYBwN0/lSaz4E4s/PvEytldHYEY3RwbS0fxxyVP6k2h3VJXRS42Bm2Un12Ty6HOFMulAYek6U4TqeKwpUkwvnPhjgGozSTu6dho+PFLU1B7EUdiNNRC++pZEbRGL0lpWn0SiX9U7kckgH6V5wEfSvGEM+xPXS+pCF6qNIU43JxOnfPyESXzbi/AbGpXFSG2gmKan57A7Xex9jn6RT2l4iIbaI3xh8sQ+yY6HxK1fy7ld0QRyrnvNlKxErwnoMu9kjr7P14D7WHjIc4v/2oBPG5TezB5dX8HrOyjOvTK2BOhQrWSrvtBkOc//Ymzl2xhDmJiARKqBQr311B+dM6yhvlh1jNfXv2Qzwa4vzbDq4rEZFuG4+plnD9Trkqb7U2ZyvYhCtqH3RstRmLiB81MM8A14Zp4FqzHNyDaqrxywbORbWCHqNCBfcPEZFM+c5MC2vZi9CfNtfE55wdN/D4ET5r67M4BhGRzU0cp2XhOc0pPGdmEZ+N0x3s89XlVbyBGlStlvdMnVUOpzn1zJ+e43/XIoQQcmlBZ9Pk0LWl84lo+C9DQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIROBL54IIYQQQgghhBBCyETYsVzca6Aods5G8Wuo5LSJoMRVRCQWlM92N1YgLo5R1O0PUeTbXJjHzzMU6qZtlPqWSiiGFRF53rUHIH7wgVMQt7dQ2rq0F0WwlSYKcpMq3sMyUPIqIuL7KKwOU6zVmQdR7F1NOhA3pjAHp4FS3tTC94f1el427VWV/NlWom4l5TUMnF8/Q7FvPEC5dLmGIujEzAuQ+z2U7E7VUWBrKSlvZxPr4jl4zah9BnPuns3dM4mU+dfFPrYClCyXEowzA8dtKEl7tPwliE0TpewiIv7GOsTxxjmIBwWstTnAvtZSZdPDZavnTkTEzJQM2sC8MgclymmA/WBmSvStdgqziOs7SvF8ERF7jPNZrKu146AA2VYS9XDjPjxeTeX5Ec6ViMji3EH8gYXj/su/+muIRyHWdv08rtVHTmCPtdodiPuD/LjrNeyRgnJir6+gyLmo9pCR2vdC9YcAzq7gvikiUinjNTY2cRxz0yjFTtU2tb6BkvRKFf/ww6yF8+16ebl4HOJFkyLmlMR4jTTCHo1D7A/TRkF6MMrXOggwnm3gXqnF7rNN7DlPLdeCuoWl/rpErAT4IiJLTbxH18Gk9lYuw2uqvXSrjfuWW8QcIz9/z1Sw1p6Dz4CNFRTSW1X8vKjuUaphIVpDfBYf2nNVLoe19iMQJxGu9811zIEQQgh5snkmysJvXLp24ve4feXuid/j8eaG8vFnH/zGEyGEEEIIIYQQQgiZCHzxRAghhBBCCCGEEEImAl88EUIIIYQQQgghhJCJsGPHU6Y8I2GsvDQ2OiLcCro2RESiAXpHxMFrxCm+B3Pr6HSyq+jnMRN04WTKM9PvoodIRKRYLEJ8xZXo3xgpZ0usxt05iZ4iq4BekkIZry8iMuyi66JYRn9KQzmgvDkcZ9gbQmyXcFytjdMQz+3NO55MC/PKMqx1qqQvtlJ0uQ46XWoNdGWZrvKzGHnHV6miPDQPfQFiy0KJj21ie4bKa2Jm6AQqF/NOr2x6L8Sx6pkkVC6rED+3bRz3aIhzVa/M4g21DElESsrhk2U4jqKB8+nE6EpJA8wxS7G2pos9KiJiBLgex0M8xo0X8BrKEzbs4PH+GOvS2L2E59v5HIpSgThQ61spfsTvo1emVlACHqW6GXSxTiIiWwPMo9tahvgb956C+N77juH5PfQKTTXQjRT76O8xrPy7+011jb6POc00ZyDOYrxmT50/GuH697bxK4WqZxZm8R6nl9ELpT1USYA9OOqj82lDD1N5q0REHAfnK1B9W1P3HCnnkyh/UqGKY1rbwr1XRGSzh+d4ZXR8veQIPkOGau2IiXtOvYRr07UaEFuN/P4+MnH+djUvh9iwcB0UXCzeUgFziNICpmjm91JbOfiCCJ9brurL9hDXr2FhT9WncI8K1rHWq6t5r1iqnI2FcgPihYX8vwEIIYSQ74Sng9PpqXA0fac8Xo6XggNqO+iFenrDbzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQg7djw5lQb+oIC+jvEQ/Sxxt527hldCj4SpLqk9I4aNLgzbRr9GgGoM6W2hayNK8g6YSMmLpvbsVzmpd3EBujCWl89gjgHmGA06uXt6KZZ5EKDDpTFXh9h1lROoif4ky1EeqiI6oVLJj3tz5R7MQfm2Kg7Op+vgNaLOKsTmEGNfzYWj/Twi4rfQyTSKsdaVOrpQfANdNiWltjECrMNgpKRBIpJlOE5rjHGqXCiJmitRPegoP0sU9fHzFOdKRCROsK+LHvbxCPUrYlexH8YbmLNjot9lMFLyIxGpltHxkyhHUxxjrdIE3TZhH9fS8jqu78oSXt9xG7kc3NphdU+sXdI7D/HJcych7g2xB9s9zCGKMGcRkRMPPgTxfQ+cwwOU0ye1cb6LVfSvWR6ui8DHfc0PsE4iIs0mrt94hOPY6qA/KU0wJ8PEntQeKafg5e6p/VcbW9gzc1PoffNDzHt2YRHizQ7uUdMpzt2g38mlUFH7u628f8Mhrte5GfRn9Yu4wMMEP/fM/Lh3z+I4CjYec9d92GNWGe9x+QHsY7eCe5DY2GODEJ8HIiL7pxoQRzGuNSvBPSIxsS6ZUjgNhrhP2i46n0RE6tN4T1/5DIdDnK+CYO2jNtbNUu7DRhn9TINhftxZhH0dqmPcat5FRgghhOyUS8Hn9HTwNU2CnYz7qfBAaR6vJ+iAurThN54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETIQdO54S5XMIfPQ5lEvoxjAd9H2IiCQZ+jKUbkViwR8Uy+i6sTz0d6QWHr9w8BBeL847YJIEZSiB8gI9cuoRiPctoOtidhrjTrcDcbWOrgwRkXCEbhqnoGrjofOj10cHzOb6BsTPuRL9HR3lY+luoudGRKTk4Lgb87sgHkX4DjJUvq3eWczBKaCYxI/w+tN70Z0iIuKU0FVSS3AcsT+GOLOw5zZWsS7FEs5v0sPzRUS8AvpVSsplY8d4jqm0JNFQXdPCJZOl2D+Jv41XrIfHGEV0wIQh+leCAV5jrNbaOMAcuuO8f8VsYE8VlW/HNXH+Bh2s0/J5dBn1xjhXrfUOXi/CfhERySJcC60+5rm2gr60xRnsyUH7LMTr57COq+cxZxGRR06g02ljbQ3iQPl3SiV0cpnK4WUL3tM0cM/RPicRkThU8xfhPSsuNlmrvQ7xdKMB8aZyI23n2wl9vEethm6qTh/3oFTvgyGOs+zhWl1Re9DMTH59n93E2pfKOP/+COdrc3MT4v3BfogXZtG3NRrl/zuJ7WCecYB97Xp4TlFwHZw7hXUJFrCPS1UcgxHlfWr3dbB22gM2VntI1cX+OHzFPog9F519UZjfU8aqL5MM8ypVVF+OsS5xoMRylno2m2odWPl/KizNYh+vbeJzyIq2cZERQggh34anwun0bHU2TYLHq+Wl6IDS0An11MJvPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCDt3PBnouqjU0SFiO+jO8JXXSESkOwwgLjnoiKjN7YY49tFtEqbouvBc9EoVauhf8kfoJRERCceYV6JcGbvn0F1ybmUVYtdCV0ahjDlkea2UTE1NQxyF+L5vZe0UxM+54irM6eAUxH70IMS2iR6bzkbeAePWsNYb4wcgnlM5jkKcK6ug5qqObpVKiu6b8UA5RETEnsZadTYw77pyXbkBXjNKlOvExfYtTKMbRUSk30JnS9JFz0zFwflP1bgz5boZdbG2ro05WAkeLyLSPofOF0/VMq5h01gOXnOsfEyJgf4V38p7xQZd9MrESvkyaLUgHvZwXAOltvr6CVwHc4dxnTT8vF9rc6AcTZu4nkdjnN97N9F19MgjHYiXz6Hja3kNxyAistXHWvvK8+Z5WKtYKXvmZnAPcQvKIZRiHbxivvZ+jK4b08MctE/JUvfY7OIYKlV03W1sYJ1ERHYvoR/rxCPoqnNc7CFb9W0SYCEM5dvLBHtueXk5l4Op+jKKcb32egPMwcMcmtO4z5VK6plTztfaSB/bd2fgcpaa2kOyFB1fnS3cL+IMe3ZzK/9cMwT3un1790B8ZHcD4qV5vGeqfHrF+hLE1SLuiyIiYQ+fbf1Yuag83Gtrav93+qpOiXLdWehnKtTQtyUicv7MCsTDEMdRc1TxCSGEPKN5KhxNTxQ6nS4el6IDSrOTnqUH6smD33gihBBCCCGEEEIIIROBL54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhGMLMuyxz9M5Pg/fBLiWgN9HFub6D5pNtCVIiJSqqMnIorQAeHY6KEQQR+HH6KHpn0GHTJeHV0oluSHZhfQr+FH6OcwMvSOKDWKeB7KcvpDdGX0lJ9FRMRQ9/BsdHas9c7gPR3McbilHCKH0AmzuonulEYZXVkiIhKgH6ezhbUc+VirCio+ZPcSzrehfEyOizk5NZwLEZHURNeNrq2hhDtGhM6QNEE3TuRif2w333GiXGTa8RJgHbwM72kUMElVJgkCNSZzG+fP+U38gfJhmTUsthvjfPeUC2ckeE8nVYUUkfIAa9n38B1ztKlcNsrp8tAy9lR3iMevdlTt7XwOdbUeRyMcV3eA9+j3cD/o9tCn02ph3B3i+SIi7S56nwqqyfS+NDODfZ0oJ9RgiE4w7S0qFvJOr0S56MZjrF0UYR+3tnBtxgn2x9oautCaDexpEZFA7TF6HJH6PFbjME3sjwzVSWIrz1itls8hVvdwXdzPQ+W2KijXWUP1y/zcPMR79u3L3bNeQZeR7WCe6xsdiFfXz0FsmTjQUQ/nylP73MxM3iN39IojEO9abEB8YD+OY2kB93c13ZKmuN5rdfSpiYiEyl/oK7dgtYqeqCjC+U5C7OtgjHtUZuBzbhzl5YW+cnaZao+JfZzvl/y/3pq7Brm0OPC+917sFAghTyMuBacTHU7PbC4FD5SGzqftOfkTP/24x/AbT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCHzxRAghhBBCCCGEEEImgv34hzyKU2xArBQiUquiK8X0lCRERKIRukos5UJ56N7TEPe30OkyP4v3KNbRlSEd9Lv02+u5HAIDvSJ2E50vjoF5pyFeMyii2yQaYI6u8hSJiCTKK7W1jk4Xu4ySj3ADrxltoUvD2b8I8XQVc457ec+UmaE/x6vi1CcZvoMMfbzn5gZec/dSA2JDlCuljw4RERGlJhKjgXNhRKp2yivjmujTsTw1JiPvGSoo51LSw55IPHQbjSPluhmjt8Ys4j2cGtax5OYdT4Z6vZuO0CuVoEZGotYYr6ncKYMMc9pooZdGRMQf4zmJqrVVxJ5c3UQfy2pHXdPGOgUhfn7f3Q/ncnAcVVsfx+0WcT4T1SBBgOMcD0YQe2pdiYg0K+jgSZXDx1NeoUxtZH3ldOp20eGWKv9WmqILR0QkU304GOO4h128R5hhDtNVHINh4P6wsnI+d89CEcflj3E+U6Xyc2zlDRup2qp1ESWY45byUomIWJZafyPcQ4oezne3i+u3WkXHk6/mv93BuRARKZdwvZkJ7iGVMtZlqjEN8T1fuxtit4I51g2ci1I5/8jUHihJseeiEGu7oZ5r9Qr2kJPh9QatTu6emZq/YmUW4lD5E8d9dDilAe4xcYo52kUct7vN8zxrYK2aNXw+r55FDxUhhJBLl0vB17QT6HR6dvF4830xHFB6rdD5tHP4jSdCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIRNixXLxURgFqoATJhXIFYnN4KneN4SpKcR9ZRkFx4qBUteCgrDZWwuviXAPv2UDZsIPuUxERsapLENs1lLIaJkp4sxAlrMEQBbfjAAXpqd/J3bNcb0Jca6KEtR+fg7iupOnRohb/4vXtMg50c6As3iISB+oHFh5jZjgOs6RE3lWU9HZHKPF1IuyHyEIxsIhIc2oGryl4DVVKcSwUJJuCdTCU+HuQ5Nu50kAZvFnAHOIByuMlxbokWhbvY5KJiTkkVr7pzBj7PEzUQF3s80xJmEMlxD63jnVIOnmpulfHc5ZXcH6yGNear6TqgxHW4YGHH4K41UFB8jjAuRIRSQSPSVNcW2UT58sf4/put/H86Vmcu1GAYxIR6Y7wnCm1vpVjWzY7KM0PApwrr4CLbaDmf+Tnxe6G4E1sG2vteDg3ZoTX3GxjTp0ujmk7Ah/7MIqUBF0NXKuiSyXcc7RsXIvDcyJxEYljHIej9nNTndNQInhf1XJzC+XUlpv/7ySOhz00N4vycNPSZn/sa7eM89vqYa0z9Tyw7P25HCJ1zaGS6J86g8+Q5hQK0W3BHCz1By5U+4iIyNYaysJj9UcwshTHbdsYT03hfNuu6kk1vf44v9acDM9ZVdL7SjMv/yeEEHJxuBTl4RSFk++UJ9pDk5CRUza+c/iNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOJ0uJhYoZOkQy5YRob+a9JGeOoYeinyink1JClOfQK+V5+J5scwM9FwuHr4G4untfLofMwSEPBujfKBWUf6M8B7FpYx1KUwsQh4NO7p6pcoAUijiucQfdJqaD4yyWtCsFP09sdKtUl3AMIiKtlS3MKUOHS30afSslVethhA4fu6jqpFxH1WredRSL8iEF2CO2jTkkI5ybUL8nLaB/JenhmERExhl6YkzBWnrKnxQEmKNS50jRxfOTMeYYSz+XQzBGwZYZYy1LDfTS+Al+PlYulfVNnG97pI09IoMh9lS7i9fsq3GmCdZybW1dxdg/y8rXZlj5HMZjzCHOcB10OvdDbCq3zdLu3ZjDFu4ffj9f68YU1rJaVn3q4fxttnAPyZSHylPum71LeyEOxnnHU2eIfe0P0I8zGPnqcxxHkmmvkNqm47xPK02Us01JerIUXWXax6T9ShrtdNIOqe1+pr1RA+WeGw7VHlRDH1uW4R4y6Obnu1bBc1o2esLKyqc1PYW+vb1zuH9vbqJf6+wp9O+FvnK+icjBVeyha55zCOLnX3MY4v3zmFO9iPtapPaooXIbiogszKHvbDzC2hvq0W5o1ZVyY5VqOFfFwjzElSI6HEVE2l0cd6OGa61UQ5chIYSQp45LwelEhxO51NA9SefTUwu/8UQIIYQQQgghhBBCJgJfPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIuzY8ZQp70g4Rt9G3EEnTJpXgIhVR4fPTAn9HNrhVGzg8Y7y6zSVE2S0fhLi0qFrczkkDp4jBvp3QuU+GYzRY2FE2iOk5FauJxpP+TRS0ffEazjNOsRJH70jSaJcSRHmbGR5B4xrYQ6OgT6OonK4dDtdzLmEXpJhiK4T18V7WnG+DsM2XtOq4XxGfgevGeI44wDHWdnVgHgzyHvFwi10E1UdHKdXx2uYBuYkyvEjLnpqbOXOUaokERHp9vCYKMaDsgcxx9BXzpcKOoKsAX5+5iz2qIhInCgPmHrHPOyiN2at1YF4S3nHDBv9S9Uqeso223i+iIitvHBJgH1fquA1BgPMqT/EPSYNcf5rjUbunok6xnHRE6RNVOUS5lD08PhUOZ9WVtD5M6P6R0QkVXvIWPnRgjGO0ylgnYI+9nGi+yXNN1kY4j1S3ZfKM2dpT1yq3UXKn6acYI6t1oXkPVA6J8dRrjoTc2h3OhBHMXqFwm3cVqMQ+3T3InrBKvsxNm2859wCOp52dzGHkY8Ot2AbF1a/jfPV6uI+NxjifA8D9CmVa9hzjTr6lUqhkh+KSKjWklvH55pdwNpZHnb+cNjBz9U6SRIc53CArjwRkSjEHplRtXS3eRYSQgiZDHQ6EfLEeSqcT+T/D7/xRAghhBBCCCGEEEImAl88EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQi7NjxNGqt4A9MPHWs/DzlGfRUiIjsU06moY+OiKryrWgPRZqiO6XbRfdRodqAeOXUw7kc4gxdJ0XlwgiVPynLMC5VpyD2I/y8aOdLWnAx7yjFcc430I1x9uw3IW6q14PjkfLvKFdKcwndWCIizj4c51YLnR2VMnpE+gk6X4a9DsRuSblwDHSIDJQzSESkZKPzw7QaKkklBkvxHsMhuo76yy2Ig20cMPt2o+Olv4X+FSPBfkgcdNdoB5DhofMlUbfMtCNKRGIbfSyGibWtlrFnzisnTNfHz+f34joKBjgGEZGtDnqjHjmFtTp5Fp1s4wCv4XhYB8PE+Z2ensYbOvm+136cSK2lekn1qRYwKWeQW8DYD/K+nXpVuW4cvOjZM+hoWlrAfWowxpy7PdxjGjX0r4VhXmbnqD2goPxqUsYcO8oJVK3g52GATTYc5edbd76l7pmk2IOJWt/at2SoydAOKH397a6pvYBxrL1TmLVp6AZQsZl3WzVVX47G2BNt5V+aVv48Q12zVsR90Pcxx2pDOQJF5MjhXRDvX5yDuGLjntBQ+32tic8UXVsvP93SWLgK4kztld3uWYh7ow7E/TH2XEU9FxvKO1Up5p8psYHXjBOstRHna0UIIeSJczH8TfQ1EUKebPiNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOp0x5RqIUXRqu8lhUKsXcNRwbfRoNQX9O5qATopzMQmwZ6KHotzYhVroPKZXyjgmvhI6POMWc0hTvESuPTKZcKOUCeousNC/kMNXPig6eIyX05SwZ6PjxIqx9JURfizjovnGUr0lEJFQ6nMTBcUSC51SK6KUq1bC4Va+B11eyo87aWi4Hy8RxuxmOwxK8ZzZGJ0zBVnNTwJ4zRdVVRDoj9I7oHrI8dJkUlcNHEszRFOWZsbDPTQPHICLSbGCeSYy1d4tY2+YU9m2piL6ls8voZ9nOfVNWLrID+1Weyp907BQ6nzx1zzDAcZ07twxxlObHvbaGHjE/wFpmqpZN5brpqPMztb4P7N+bu2exhHkPBzj/1Sq6zjp9rGU4xhzLFXTb2CnOna/6Q0TEV24r28Zal9T6HCh32dYW+rj0nqR9TCIi5bJykSlfUjbEWmufUhjhOFJVbNPAMeictrunJlWeKJ2D5+H6NdQwbRNzENnGh+Ti/GtNVOCjk8st4fl1Nd/rXeyfopffWyMt2FK1K9Vxbsp13HMyNa5OF+ffsvN1jXuYV62B1whi9QxRfr1qCdeans2wj+fbbv6fCraBe4pr47hKbv7fAIQQQh6fp8LpRIcTIeSpht94IoQQQgghhBBCCCETgS+eCCGEEEIIIYQQQshE4IsnQgghhBBCCCGEEDIRdux48ironamW0IUhgfY15S9tKYeHuOiZSJQmplRBZ4TlYlxoHoA4Gm1BnIajXA6jsXK+NBYhDpU/ybLx3ZxdQG9F4KM8Keijn+PRa6LDpbmI93QL6A2JAxynMUY/i1tCT02SYV0zE+8nImIrD9RsfR5ir4ifWza6UoLRCsROQzmDIhzDriJ6jUREepsdPMdWDhAXHTBWphxPymUUmWgmydt2RNJYjauA50TKTVVQ822qOsSBmt9UOaLqzVwO3fN9iMsNnL/YRJ+K6WLOp1bQdeQVcS1u9fJ9PhzjOM+eRedWb4i11bjKCSMmzmek/EwnTp/JXaNYwNqUKzhuvXaUbk3qDXSfiVL8DEboUhIRKYzxmv0+roVaFWvnK4fb3AKuzY3z5yEOVX9EgRb8iNRquDd2Wm2Iz6/jfLY6+Hma4NzEMXqJjO1cR0qIlCgHU0HNhbYGRZF2dOH52t9kWfkcskx5pLZxUX0rYYi10+cbKkvtiBIRafXQ0aXvaNv4HNJ1MlSfT0+j4+3Y6VMQB+P8LlMt4t63sYXrsaOcXYN1HGdWn8E4wvNdN7+nmBHuGa3z2ENGpubfxDr4Y+VHLODze3PUgbiY5v15qdp2hhnule5cvkcIIYQ8NQ4nDZ1OhFwcHm+9H/r4LU9RJhcffuOJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIROBL54IIYQQQgghhBBCyETYseNJlOMjUc4Ir74bYsdV/h4RCcfouvG0R0bQZRIof0rYW4e4WECXilNAZ9QoyDtgPOUdSSN0vBQ95d9RrgzbVt4KTzmAOpijiMjULLqoVCklHKADpLN1DuJKER0gKmVJYpRt1FFjIyIimYUeEjNDN4qbouOjsoD3HAY4zqIaw0j5mMaBtsiIJBnWbqT8O6a6qBkr5wumIAUlBXIryjsmIlFoqGPQ4ZJF2HO9TXSfFMt4vOlhHHXRtRKV8x4as4QTMlDusUIJ15Iqk9gWjuH8CvbLeIg9KiJy9vQqxCfOoldoOMbaV5sNiNt9XKv9HsZt5dbZvxfXv4jI2bPYxyXlRxvG6BXqdXBcZeVjqhRxbW7nOqqqc8Ix7gH1egOv0cce6rcxh+kGzvf6OnrkolS7kUTOr2Lt1zawpyz1vt80cX5D5Z3KMrWWtAxLRHQW2smU90bhGdqFFCv3mb7edmhnk0ZfQ8c6J+2IGo3yfqUg0Ou3A/FYPUMMwT4NIuypSD2jmrUGfm7ka7/exp44Mos9M2rher/n65hj2cN1srSIOXlH8n6lSnMBYjfGnhn08JrtET6XshTrZqtnSkltto3qvlwOZhFrMQxwL7Qkvy8RQsizETqdCCGE33gihBBCCCGEEEIIIROCL54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhF27HgqNR7b4ZQk6Hfots7nruEqP5IxUv4k5XAplNCV4UboIbIcJf1J0WNSqqHz6dFEUWZh2XjNRJTDI1IOp3Eb4ky9uyvXmrlbapfJqLUCsa8ELeMe3sMR9DNVZg9CbBnaAXI2l4Od4DU8T9Umw/kzYvSpWCmOYdVfg3jGxXE700u5HOq1OYjDCOcrGOG4SzN4z6yI47RCPD918y4UKaoes7CnrCIW3ytjD1oO9ke7exLiclU5oLZxwHh1PMazcS4kxZ5My3iNnuq59Q4e3+krQYuIrLRwPkdj9MxEyhN0fh3X68LcPF5QvaJW2imp1fN9H59Zhnjv/v2Y4wquA9PB7Wh2Cnv0voePQfyC51yZu2fi4zh9A/v41JlHIE4TdN1YqodOnsL59pUrqVLC/hARKaprzMxj33daHYizse4Z/d8DsIez7PHdOZm6pPYnFYvYg76PLqxyGccVR3hPy8r7tbSTSe97iaqdYeDxOuckxXuGfr7PswSP0c6tVNWu2sS1WBhjf9gO5jQ/g3290u7kcnAKON+mifHcwizE/R72vWPjM6bVwrk4/6V7cveszp2BuFTBvOcWpiGu2w2IU1XbjbUOxMUa9ke1UMjl4Lh4TTPAWha8/NoghJBnA0+F04kOJ0KefLZbV7ev3D3Re263Xxz6+C0TvefFgt94IoQQQgghhBBCCCETgS+eCCGEEEIIIYQQQshE4IsnQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEyEHcvFHRcFqIaBclLHQylzvYnycZG80NRUsvFM2WXDUMlklRB5FPQhtpTx2DTy79UMCyWpqY15ZxFKmQeDdYiTEcqLLRvj2fkjuXsO+5sQF8oouA2VlNUx87X7VtIYczSLOI2WgWMSETHdGbyHksH7Q5ybYgVzrCrxc+APIY5MrL1t5UXfgZKBuwXMs91GGXXfDyGuWwt4vhJ/W6ofRETsDCW5VhXHMR70IK5UUSacGdj3bqkKsaGk65br5HJwBXsuTvCe99+LwuuqEnuvLWMdTh7bgPj0udXcPasVrG2vp8bp4fwYSsLc2diCWGudm0rSXC02cjkszKLguOBhLRd2LUK8fAalyw89+E2IF2exLtVaLXfPbhf7OlXz0+1j34rak1wbe9S0cD6nyzj/PR/vJyJSb2APjbdaEDcaDYg7Lax1sYTrfzTM30PjOJhnHOM4YiVRD4K8qPtbSRLca23bfsz40Xui2FvLxD3Vc/p4LU33xyjZ1rLyR8/BPB2Vl/awmxk+E2ZmcF9sb+EfTbBUXeca+T9YMVZy+FYLnxlfeQCfEbtmsYfEwfOnXHwupoH66xMiYqu8BgPs68Ia3lM/j5uLeyGuLeyDeNTvQmxkeZl8kuG+lCU4X2KoP6JACCHPAJ4KcbiGInFCnl3ofeaZIhvnN54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETIQdO560j8M08Z2VqxxAdmEbJ0SMXhHtEbEsdY6F94h9dEiYGXpLohF+Xqygv0NEpD9qQxwM0ZdTKqM3KFPum8RCX0ulsARxqHISEfET5bIK0MdRL81CnFbQZWRU8fxSVR2v3Cd2lnehxBGO27HRj2NUsdZZhj6eQLlwKkXMoZ+gx8pM83WoFHE+BgM8Z25+D8Tt9lm8QIwurFHagbjq5P0rtod+JdvEPq1N74I4CjDvJEFXimOgW6VQRNeRIflx20X0qwxb5yG2lEfo7q+dgfjcOXQADYZYh2Sb+W53OhCXVA7rHezjNFL+NbWeXeXSEQs9NWvdc7kciiV0HfX6ysGlPHHaO3TgwGUQj8e4bjqbuHZFRAZjNV8m1ram+mGUoYcoGOD5hvLQuXV0Z+2fxXUgIhKN0cnUnMO+3NjAvFPlQgrGGNeqeL72GomIjNQ9M+UyMk21tyonW6OKfez7OBfaz2c7+f9mYYV6z8d7RDGuDcPUOZrqczw/S/Pj1s+lULmscs8tG/vBUk6o2Rn0iLXa6DrySnlv0aCHPWOqZ0bBwr00bOI4/ARzqE/jPWbmcW5ERHwXx3n0OS+AOFFOt1Dta6H2hjmYo6P6IZRteq6F+7elHF7pCPctaRzOXYMQQi516HQihJAnB37jiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETgS+eCCGEEEIIIYQQQshE2LHjyS2gv8FQ/o5U+XcyM/9Oy1B+HVupaRLl8Egj9HMYytdiF/AelvJUWHbeS1FxMQfHbEDsx+i+GSsXzlQDjx8q70y4zbu8ckU5WlLlurLxnOriQYh7mw9BbNjoADETrP24i14SERGniE4nq4xumniAORnK12Gr+Y6VS6WUoBNkFCm/h4ikqjTFCt4jC9GVUp9Gf1YQoKdqzkNnVJSiv0dExLbRyZOk2FNFF11FcYTz6TgNPB9PF8fFMYyGmKOISBDgSd+46wTEZgH79uwqzl+nizn5al1k2ziehkOspfYn+SOMPRdzaK2jv+Wyy9G3ZFh4z9Nn8z03NYV92m6j46lSwZ6s1fD4QK2tqvavoQpJREQs5bLKlNtmMEYPXKbcRa6qw4FDuBZtG6+fxGEuh4G6ZreDtey30b/TnMY+DgLMcbqJrqy56encPU+dW4Z4fRPvmaZYLM/FWs7MYA6rayuYQwM/t4z8Pteo48/6yjPkB7hPaafTSDn8MnUPQznBRESaDdx3Giouqx5bOXMa4mIRe25+qgGx7eAzxBS1AYiI7eBzyQ9xHL0R+pTOLqMLa2ZaXVM9S3ct4R4lItKcRw/goIP3tNR+XVLPLVvt74l6bhVUf1jKjSUi4hSq6hjcf8NAeaQIIeRpAJ1OhBAyGfiNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOp8xA10WmfEy2hW6UON3GhWHiMWKh68KK0JcSjdERYSplkyGhipXrxkF/h4hIYqHzxRK8aFHQn+LV0StSqKDrxHDQnVKooVNERMRReaSCbowwQD9OHKF/J1LeoCxVXhkD61ho7snl0F2/D48p49RHyseRJMrHJVi3IFF+LRNzbrpzuRzOrZ2CWPu2ppSfpROgp2h+7mqIsxg/t7ZxHY0GeEyxgvM7GipHl/InlUvoQjFNdJ90uzg362fRtSMicmYZ57c7xtp94+41iLc20Ss2GinXmYU964fohBERMVQpogT7uFpD99V6C8dx5MhhiL0K9uzWxirEu5d253LwI8yrqVxFq5vrEI97qgfLmKNVQIfMWK8DEfFUX+Y0UMqnVlaOn0YNcxyO8R7lCvbsVhtdSiIinRb6zTxLrSVHOd3K6I0aDLEOc7O4lnbNoZ9NRGT3IvrQ7nngAYi1s8lSfqU4wXEeOXI5xEO1Tkwj78/zlMMvUVqgQojnJMr5lCQ4W1mGx1vqeSEi8s9e8hJ1DK7XO+74DMRXXHEU4gcffhhi9wp0mWWZ2luVR1BEJPVxHKHyfvWVo03vU4UixkcWcX7DUb7Wrot9O1Rev/kF1SPq+EQ9ry3lTzQsFZv52lsx7ilmhnGW5Z1chBBC6HQi5OmEXq+3r9x9UfJ4JsBvPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCDt2PFnK+ZAJemdSC99hmWnOriJpOobYSPH22kvjeuihSLRTQrlTxgP0rRhWPgfbRE9MpjxRblnd00N3inbEVEqqhMY2DhA9MOWiMtXHhoE+pVS5bDLRvi2ciyjIjztJcNxpqPwbSqBVVn4d08bzCynmuHH+FMRGnH+nWSmhyyYO8RqnlIdmYQpdVb7yzHiucuN08XwRkSRCx5PtoauoWEN/jpcqN4qBtY19rO2D9z4CcamRX1LrXZzgk2dxHMNeH+IowrnxxziGvoo9N1/r0QCv0WiiP6vXx3vunVuAuNxAV9mg34O4Vm1AnGR5D836MnqjCgX0xEyXlGdqjJ6wVO0hlurzVhu9NiJ5j9RwgL4kx8X12W3juCrKZRX4OFfdXgdj5XMSEUkDzPPyfegVSwQ9cW6KjqCpKRxDawvvcc1lV+TueX7tPMTjMe61odo7wxB7yGnj/m46uLb27MK1OBp2cjkYBva+ta72e2XcKpXRl2arZ8gowPPL6ngRkedddQjiwQP/APGBeVzfx08ch9jx1B4ywvkuF7Au/T7WTUQkUPtYpY5rTTIc96H9uMcYynW1uok9W2tiT4qItL6MDq/pJVxLe44cgdhRz2/LRBdWnCj3oY3H29u5rRy8RqrcVvY2Ti5CCLnUOHHTbRc7BUIIeVbAbzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQg7djwZBr6jMkzlb7DQ92CIcgiJSJriNZIIXRZpho6XsXK+uMrP4/volalWF/GGylMhIpJlmFeSYA6dzhm8pod+FrHQvzIa4fmFSt6FoRVPWYjjslWemY0uk0KtgRdQrixTuVUKZeUYEZFwrBxNTXSfGCP0c4i/hjnVsLbxGH1alqj5T/N16A9PYA4ZjjOxsFCOh9e0PPSYhImaXyfvQikV8Gdpgj6VJMa5sJwSxKaBPTYIVI92WhCfOod+HxGRh0+iR2ir3YG410OvzMYmfl5tYM+ZvnIhmXm/Uls5nKqq72vatxWhh2akzi8WcK76A/x8fWMjl8M1R9FFdOLkSYgHEY7bVh4az9N+HVxr1Rp6qLajWsGeWV5dhbg5hWtl+exZiKcbuP431tGl5BWwR0VEyg6ux3tP4Tk1D+crKKg9JuhA6BaxJwPlfBMRGUW4J8zP4DX7aj7HIV5D/xcIVzn8EuUxWlhAJ5iIyGYb52d+DvcM30c/UqycXc1pzLndRrfVOMS1KyLy4DHcr792L/bh+U1cny+45lqIHzr+MN5zfR3iwjz6mNY7OEYRkaKLPXB6E91jV1y+D+LVNbxGs4x97ioHYBWXqoiIBA7O2GWH8R4byq/mlLEnmzM4N6US7pPaG5hE+T0mTXFPybbxOhJCCCGEECLCbzwRQgghhBBCCCGEkAnBF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQg7djxlMToftPHBSLTfIRJNEKDrJgvxKk4RPRP1xgzESYLX9Gz0lPgjdGvEUd4JYnsozCiU0AETt3CcvTH6WYIYHTGN6d14/hDdGiIilouOFstG31KmfCpj5b4JIhxnEqArxdYeqkxJpUTEH2Hty1V0wmQR+joi5ZHpn/kaxDMzhyE2DBzToI+OKBGR9RbWZlG5S+wC/iCJMSdT6XTaa9+E2DXz406KOL+Wg3Gm3r0GY/SvuILxuIUOmPU21imI8y6UXhvHHQa4Vk6eOgdxvY7eodEQ+9pw0a/28APHcvdslHGcTeVDWl7DcczOK+eXcroNfOwXWynelhbzzp+hcvpoB0w0xvUcBLhei2WccNfDHguU60pEZKDcRY6LrjHTxHENB+PH/Pzs6jLEtnLbHdi7N5fD/vk9mOcqus26yuFVryuP1AzuewsLS3h+F31NIiKmg+NsdXvqc9zqrQhrH2fYt36Ee9IowD2pluX9WgtT6CLb7GDfJhle00yUN1DJ8KZnsSdtI//fSQLlIvre130PxNEYe+rUydOY8wI6nKIA+2dzEz1Ta1v5/b3axOdW1cPa9PpYu00He2g8Rn/aUPmUwiw/7ukGnnP/QysQX/kcdD4VY6zDPXfeCfHuw4cgriqxlGWpBS8i5RLmkCnXoK18eYQQcilw4qbbLnYKhJCnMTcuXQvx7St3T/yeet869PFbJn7PScBvPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCHzxRAghhBBCCCGEEEImwo7l4pK1IIxiFAWbAV4qjVHSKiLiOigHjl1875VFKPrVwlvXQ5lpaqAAteQqUfg2cvFISXNbWyibnZ47iMf7KOl1Azzf9lDqK4aTu2eW4DmJiVJk00KJcqWCsuHumqq1kriOA5T4lspTuRzKVfyZHlcco0S7WEJhrqkE530l4bYdnIvQw7kUETEsnM/MQHl4lqDANlWu8MH6I5hTiterTKFQV0REO3HjBO9ppDgXjspR1NyZSnDt4+VktZUXXrc6HYjPb2LtGk2UEQdKcCxKDL2yfEZ9nH9/nKiVPQgxr5kZ7LF6VUnXUxxYMsL59FR/DHo4JhGRsd+BOFTjWl1BUf9UU8mp1zch1ur4mdlZ0VhKDt7SYvcYpdrpENeW4+D6nZ3DOo1GWMdtfNeSFbD4s899PsRzJn4+GqAs3Oh1IK42cW42zuQF14MRCqz7Q1zfthLva4F9pYL3MC0cWKr+eEQwzu+t5SbKpPfvRcn6sI890lM56r3ZtnEuHDf/uPLUXnj2HP5Rg4UZ7KkoUutTLfdiEZ8xp1ZQLj/o5cXuhmBtZg7gXhv4WCu1ZUiS4eeDgTrCyP/BAi3NP3A5jjOMcf7mdqGo/bt2H8Gc1N8GGYxxnPUKXl9EJFLC+VCtd6+AtXQxJISQZw1aRkwIIc9G+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRNhx46nKERHiO2g+0Qc5cLZxnVkOOilKNgYhyE6I7IxeqVi5esxDDw/VU6oWHlJRESUNkTqdfTEZB66TixTeUbKeI9EOYAGA/QtiYh4BfQCOcq3YiqvUDhAD4l2gERDdN9YHo6h08K6iYi4qlZRiNdIEsxhq42uFK+4gMeH6GtJfZy71Ma6iIgMO+o95zze08mwLivH7oe42UCvkF1Cb0mS5V0o2q8VBugqckz00hQ8nO9Unb98Fs+3M+yxainf97Ua3mOjja6jWLltHj6JLqvFxUWI52dx3KN+3q8UZ+iJiXy8Z6mOOTkOesYCtRYtC/vngQcegHhhfimXg3ZVlSsoeakrz1SivHGRqn2lhOf7ft6nZSmpVxii08m28XO7hOOuVrHHHBfXbjrAujx8/GQuh5XV8xBPTeM456fm8QTlLgpGWLflTbxHLPm1NR7hHqE9cAUPxzmt3FVxqPsFxynK+VRQvj4RkUIRe99WHqKygS4z18Mc41CtX7VdDIb5Pq/PKnedmu/BEMehXVbrm1sQB6q2ga+8g6k2NImEPp5z9zfvg/hl170Y4t4A5yqO8fyCg3WwtEdQRBJlPCsX0LFXU862SD0KHbXPOQ6uC+2QipN8z9kFXCteEb1hplprhBByKXDo47dAfOKm2y5SJoSQZwKP53C7feXuJ/2eet/S+9qlCr/xRAghhBBCCCGEEEImAl88EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQiPAHH0whiK0UPSRLjOyyrjD4PERHTxmPGwzbGY/RpeB56aOKxykG5UeJI+Xe2ea+WpeiFSVPlGXLR4ZEaeI0gwnFbqZJnpOjvEBF58Gtfw3OUF8hP8J4zM02Ih60+xFEdj68U0cdhKM+JiMigswFxqboHcxiegdg2sbZmgk6o9Q10QDWq6PfoD3u5HBpl9IpMNdBVtLqCbpzp+b2Yg+D8lxq78HMz387D3imIbQuPSWPsmVGEOYwDdKl0B+iEeemLDkL8Pz7417kcjh1bhvjeh09APKMcQJ7yq+xa3A3xxgbO5dDP91zRxVq76pqVGvqS+sqfEyh/0mCEn4/62JN+PT/fXgG9QpKh82XvHuzBRx45DbFt41z1eniP7RxPponrtaS8UGGItZqbwx4cj3Gc42GmPsfzA+XOEhEZKg9USznXhnvwGouz6PDqtjEHp6j2VlF1FRHbxGvq+TaV+yoRNS4f15ar+mdpDnOsKt+aiEh/iB6gplqOrtqvbRc9REmM+5plYs6lEnqMRERaLXyGVGuYV7OC+9LsFO6tbXV+e4R1MA3MIdX7vYgM1TlF5TLb2MC988A+7PuNNfy8OYXeqo0Wfi4iEoWYR6mMzq3p6VWIX3jd1RBXa+rZaBgqxM8dM+9ritVzyzBVrJx9hBByKULnEyFkkmgH1CScT08X+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRPhCTie0KfSb6HXolJBd8Y4OJu7hmvjMZaFHpFyBd0WQYwekjBAd4or6DIqKifUuI++HpG89ylz0F0RDDp4DdSWiJHhPV3r8d/dHTx8GH+gXET+CMdlZeiyiQJ0oayvnIK4u4kOmVoDnUEiIpKhf6PTVfNj4OcbffSKFATnf27xSszZwEIVDHQniYhkHtZqbXUdYrOMdUnCLsR2EccVp+gQSaO86yiMsJaFEvpVsgwdPa0A3UXzZTx+9y50yPzRn30Z4l370IUjIrKyjLXetYhuqkEPx7lrCa9x/KEHIdZ+HtdFv4uISKOBbpvuAMc1HOD81Ko4roHyrSWBWmtF9O34w7xvKQywJxzlDUpj9NRYqgclU54ZF9dqluVdR3GM98yUk2dxcVF9jsebhq0+x5xKatzahfVoXjg/iXLhbJ5HP5pnY12026qu9tYgyN+zH+H8zM/PQzwa4vxfceQyiAdd9EqFMa4l38d+GJzD40VELBdrU6urWqm9tKi8U14B+zgIMIeycieJiJTKyvuEpRdbeQUN5fTbuwvX4uaDuNZEzUW5jHuxiEhR+bQayjNlqB5rbaEnbm4W59fv47g3VvF4ERHXwd5vnMZn3zVXv1wdjz2m3WSmjXNhqbmxbRyjiIjS5Umq1or2JxJCCCGEkCcf7abT7rpLBX7jiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETgS+eCCGEEEIIIYQQQshE2LHjyVbuk8Y0um9S5T4qKaeQiIhbRg9FmqCjxzDwPVgcoJ9HO5xcV/maMl99jp4KERGx8RraM2VamLdj4PGmobwVFnpJShk6ZURE4hB9WJLgMfU59M4YSlQSm8pto643tXQQ4mDYzuVQcOYgjjqnIQ7VK8jhAP1LleICHmCiY8RWdfCxHURExFJOpsY0Or2cMnqJxsq3ldnoV7EMrKPr5ds58JVPS7mrxEb/StHDfmi1TkH80D3HIX7Fd18OcerkfUv/8JX7IS5Yyo+2C2vb7aOPpzqFDphBB9eFJfm15o/RE2MrJ0y5gG6chx74JsReDX0662vYD7VGA+JeD3MSEakob1So3DVhiJ6Z0QBdZ9VqDeIk0es975C5+hp0j/W0Py3Bc7ZaWOtSSe1Ryluj77mdxSZS6ztWciPLxB5bObcM8eKuJYjXtrD2TobrSESk0+1AXKzi/BWL2JedtnY04YKtVbHnuspDNjszm8uhr+bPVx4h7WMqFbDW2m01o/aHMMxvKqMRrqUk1S477Mv5Ocx7/8G9EJ85j17AVdX3rvKUiYjYDvZlqYT7VEOvlX4HP2/ivldqYF1mI5wLEZHVZcxrqolrZX0DvX9zs9gPSYY9OTeHdcj3eb7n9E9M5YUy8qcQQgghhDyruXHpWohvX7n7ouRxMeA3ngghhBBCCCGEEELIROCLJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMhB07nkzliLGUI6ZYRIdQOFQuHREZjtCfUS6il8Ky0AlTrWFse+jOiOMx3iDC2C3P5HLIBD0UpoXv3kLlRzJsdMBkpgtx0EX3iVXEuoiIZCm6TkTFow76OGwTnR/FMt7TaaATyLRwbkqV+VwORgFr3RmdhbhSwFrttbEujonXrNTRCRL5OLedjY1cDgUT3Tc1B2s12MJzSiX0kkjO6aM9JHn/iqOcS5mST53eRFfKwXkcV6eHczMzhdc7eXYN4jTLe8XGPo57eV1fEz9fXcda7ithTkGC/VNUbiwRkVGKPqXlc6sQV4rYUwvKKxQl6ICp1rB/tPvI28avNVb+Hc/DPtUSGK0u8mOcK0Ot1cUF5R0TEddWzrYRjsN3sGdqdaxdpv1MMZ6vloXYVdyTRETGyislOU8UxuWK2ksL2GOOch+1Wlu5e7olvMYoQN9dsYB7aauNa80xcWCtDu5rUw30DPk+Xl9ExFZOvXCsnEwx1t5IMS6pvTMbYp1cV/WPiBTVuLUn0HG1dwibLFX/7WXvbuyp1Q18jiVR3jPlqKboK9+ZpRxQ81PomeoPcZ3oZ1J9Kr++x2oPeOSRUxB//W7cr011/BVXoRcw5zIzsU7mNr4mrTvU1qcs3c6ARgghhBBCno3wG0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQh88UQIIYQQQgghhBBCJsKOHU+ucjwlylO0tvIQxNVi3ktRLaF3YtBfhtgrojfEsqYhDkYdlRP6VQLlpQkC5VoREcdFt41+85Ypb5D46I0ySup6JeX02cbxk5nobBn5mFdm4DmFIvpUwhQ9I4Mu+noKam5Kjd25HPzROYiLNuZULaF3JBTl8LHw+NapuyAe+QO8vpv3LZm6Nr5yWyXoCElU7LkYByF6aBLJz3d/HX041Vl0FbmqDsMR9vXiHNYlHWCPTi+gO+czdxzL5WBYOO7FJfShjcfYY9UqXtPLsGdHQ8zB2eb9cbmMfqy55hTEaYwuo06no3LGrSHK8HjXwZySIC+BMUzsIVN5hLrqnqZ2xCifjqVcRwuzODciIitr6MfSlhk7wbnwlRfOVie4ntovytgv/jDvOqpWcF8yBR0+xQKu17l53BenKjj/wwDPL2lXlog0q9jXObuO8isN1bgd5cYql3AMBQ9dSq63jU/Nxlq5Ds6XYWPtowA9ZKbyNUURfu44+T5PEzVSJSOy1NobjrGWkeqxfbtx73z42EmIVzfQCSciUimr/Vp7oNT+vqX8WfUyPlQctU+mau2J5HtIVB3u//oD+HGMa/E5V10BcRyrPUX59wzZRvKkuixNMU/t0yKEEEIIIc9e+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRNhx46nULkxylNLEBcW0DESR3n3ie2id6bmogcqVs6fKEafhmOg8ynOMCdJ0QniFdBTISJimsqfkWJsK7dFZqM3KNa6jVR5aNy848lQ7gulPhE/QD9Sv30GcwiwLo5yRhWUn8mP8XgRkYKF3phU+VYyC3McDnHc3gw6gs6dwhzrs/i5mNt4h0zsEdNAR0jmYmFMV3lrlGDLNfAexjYulLSItTp1Hr1iuxsLENfK2GO97gbErXYH4soU1tVw8X4iIvUa9v1muw1xt4fzf+TAfohX1nAdpAn2XLmGOYiIRAG6qmLVuOv9HsTa4eJZWNteG700jSn02ji6qUUkCDDPMMnPz7diqp70PNXnymvTG+adXql+l67uGam1GIeqTur8knJZOSa6jcZGfp/zlA8pUf6d5jTWzlXj2hpifzgW5mA7eb9SXznWLJV3+zx64uqzmINXwR7Vzifbwf6IQuUxEpHVVXTPaU9UlqFnqFDC9Wyq9axdSeE294zU/NXr+EwJ1DlFtR8MlaMrLmMOh9RaHCkvlYjIYIi1tzNcC0pVJ8EQn1uW8lLVm+gqNLBsIiIyO4371PnzuEc89Ag6/Wb24vN6OMS6+D7e07aUOyv/WBNR82VaytGW0fFECCGEEPJY3Lh0be5nt6/c/ZTn8VTAbzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQh88UQIIYQQQgghhBBCJsKO5eKWkiZ3tlDSXLDxUkGM0leRvJDWdFBoW59CYeqwr2Sy9lkIs0jJigM0oMbDbQTnlV14TIzSZNdC0a8foTh2axlzaC7uwRsocayISKmqRL5FlEGPxiiGHQUoF64bWIcoRvFvnKFkeRyMczlocfNovAZxoAS5RRdl4b31RyA++oIXQjxoPQxxrbovl4ObKTn02imIswjFvcUiyok9U813gj3mlfOS7c0+xkslFJYXbezB8bAD8aiNovayi2PobOpa58XP9ZqSotsoft6/G3soUhJmMVDSa7t4jxOP4NyIiFx++eUQVxsoXW51OhB3+rgO2i3swbnFRYgdJenfXEcJu4iIocaRxCgsjiMUGkcpxpUi1i2K8XPfz6/vQP3MVrXz1R5kCObkqHUSRqrHlAg8S5WEWUQSJTSfbjYgHvSxKdMMr2Gr/x4QqT2qUsW6iIhYluo7ldbeIwcwR7V3bm6hfLxcxnG2OkqAvY3QvlrBtdXuYg9psbepRN36DxpUq7j+tzbzfzQhSbHHtBQ9UbXVszUzg3tzGGJdrv2u50J8fh33ahGRUoS1OPbggxCPHOzbffP4Bw3a6o8LFLs47vl6vtYra+chrlTwmFn1xwVOHTsJ8Z9+9vMQf9/rXwXxkcOHITYyHIOISKr/0kam/juW+jfBdn5yQgghhJBnM5MQiZ+46TaID338lif9Hv8U+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRNhx46nWHmHsghPTVx05aRG3gkhKfpwhm30ipw//QDEc0voCYpMdIS0t+6DeLCBBo80zlslmjMdiMsN9EpZFbyHYaAzZGlpL8SZhb6eOFFeKhER5bsKxuiBsq0ixNUi5p0M0H3iVmYgbvfR19SookNERETUOCTFd45+iPO1fu4bEC/sXYJ4q4Uek/FWB+JKnH+nGRew1o6LtTNMnL9A9UfQ7UHsVdB1Y2oHlIjM1BoQhzH2YOJhDv4I5y+rYd1S1LHIeB3n1jLzS8pUZpnZKXS4nF/HtbV2Hj0yzSbO9/nz6HeZaqK/SUTEtrH+wxH2kG1gj+1aQIdTqhxAhorPb2LPmVZ+rYUh1qZSwVpr71jmY+3HPs5VpYp7zGCoBF4i4jl4j+EIr6G9UDMz6DLTrqRAeYhi5YiaaaAjSESkr2qtNEOSKIVXOMZ7aDteqYR9Ho7ze0yhiOMulXAfC0K8h16dzTr2UKOGvqZAOYNM7ZQSkVA5uBbm5yFO1MD1/FqqH/Rc7t2NPSoisrKm9gi115aVJ07fI1WeMVM5wc4sY5+/6LtflMvhD/7wjyCuVtG3FPVwnHET61AuYF/HAfZomOHzQURkpo59t6acbZHac1ZOr+AFvogd8Pzvugbi3UtzmFOomlZEfNUTsws434KlJIQQQgghihuXrs397Mn2Pl0qzid+44kQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIRNix4ymK0RFi2Oh3CCOMkzjvhIhidJOUK+gRKZbRZWEbyvkyPA1xo4DOj9o+PN5x0J0hImIayqfho28p7OM4vRIer102iYHHpxFeT0QkiFEMVK6isyfqdiC2DDUt2iOVopfEzTyIR110zIiIeGUUbiRKwTXYQs/Q/MJBlRPmMLdwFcRd65sQa2+NiIhl402HEXpINlbRpzKj3EW1OXRXuQX02KTKISYiEqSYh6NetW6eOonXtHG+N89iXVbOYNwaY103VR1FRMbKyZMm6EsajtHpYtu4DmrK8TMzjX6XUiHvgNlab0G8uDgL8apy45jKCdVQ7qKNrS2IK8pj01GOGRERz8O+dBz0Alkm3tNUcaZ8O8Mhrq0sy0tkimV0+gTtfF7fymikfDohesSmp9ABVXRxTFGU9y1pj1SoPVFq/vXntqpTqtxIU41G7p6ppWqhdGfNKu61rTb2qaWcX4kSUz104gR+HuV9apbqoabqoalZ7MEjBw9AXC2rvVnVNk3z9zx8AK8RKceeqzxyOjZUzxXV57029n2khV0icvQg7pWf/fznIZ5S7qMHHz4G8eVHLoPY8XBfS6L8szQp4HyPh7jnf+N+9CVOzeBc3PdNzOETH/tTiI/d/wjEr3v9Dbkcdi2i90/7sSh5IoQQQgi59NDOpyeHn37cI/iNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOJ+02yiLtY8FLuVb+nVZJeWEMC90VhmDsR328plJdOA7mlBp4/TBE14qISJKtQmwL+lTiIXpE0hBzcJQkyC6gt8S10HUlImKbWJswQOdTGqKfw1G+ltTC84PuOsSDPnppTC1wEpHanjmI46wLcamIHqFivaFyxnukyoUjyq2ShXn3Tap8WkmIbpuFXeghqTcwZ8tGv4pp4fmdKD/uWLmHPAf9Ka6B8UD5tsKBcpupuen6+Pmol/drDYbYQ0mqxqFUKNpDdX4N3VeZ8swUSnmXma9qvbmBzidPuWy6beyH6Rn0kLWVE6hWQ2fQyspKLodEuYy0X8dSe0qa4QJPU4xNU+1Bad59M+hhrcNQr0cstnY0lUvoyxqPsY7tLtaxVm3kcnA9XK+x8iHNqtoOlZ9nrBxR2p0z9PMus8Wa8saptTAc4J6j985p5WO6+9hDEHeUu2zf7l25HEwXx22Y2Kd7dqMTqFlDh1uuP6qYo3ZfieR7QmuFHA+vWSji/A6G6hmh7lGbRT/T+sq5XA7XPvdKiL/09bshDkfYQ80m1npzawPi+Tnc9/SzV0RkOMQemFYOp8uPHIZ4YwudbiN1/jfuxfl+3vPR4XfsGDqfREQefPA4xHt2Yd779u2BuOrh/BNCCCGEkDw3Ll0L8e0rd1+UPJ5s+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIRNhx46ncIBuk3IVnSKifE1hil4TEZFY+TdEuU+iEL0kXgnTc+wjeH6G/g5RThnPVp+LiGWjVyTWPiQXXSiixlEso9MpCNDfkeqcRCTN8P2eoRw/lQa6L07c+1WIF5caEBdczLnjYA6rx3GuRESubOI9gg66b8om+rEGa2cg9iroQhp3zkIcdlQdtpn/wRjvaVp4zWEHvVGDLczh4ZPoIXru8/dCvFHE64mIFBJ0MG0+gi6ihx/Aa2o3UmYoD5GDLqxRgHPZG+c9U66DPdFqo9OnVsPar6yeh7jZaEDc7mLOZ8/iXIiILC6gb+X4qRMQN6q4DjK1NotlHOdAOYLK6nPbzm8llo2166q8tbtGO53CQPVoA3PuKZ+TiEiphHnFMc6H9mOFIeZgKJ+SPj5Va1f7mR49BsehXVRZgtfQdQoD7FnJtNss7/xZ39yCuKzqIMq5p+vSUm6zQ/sPQHzGxrp0lDtNRCRysAf270HHj2PhOoiV06tSRv+S/u8ixjbjNtW4Mn2AjXtCp6/nC88wUryHp5xQew+oZ5CILJ9AP5JqIZmZmoZ41+7dEGvH02iMa80u5Pe10RD3qSXlV7INdFUlqtbd3imIj584DfHHPvJHEB9eUs97ESkqz5v2xnnlCsS/8v7fzF2DEEIuNiduuu1Jv6b2sxBCyHfC4+0pTxcHFL/xRAghhBBCCCGEEEImAl88EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQi7NjxVKsvQpya6HMYDdDPE8Z5x0+jWYY4ztAzUirjNTMDPRaWga6LLEFvhekoj0mUS0ES9UPt3/HMKYgj5ULpDdHHUSqin2c8xjqIiEStNsR2Cc+REGvlutp9g86Xbg/dNwUXx71rH/qcRERWHjoG8d69HsT9MdY6CrEuSRfvaXjo9wgExSblBrqwRESCDOevNoseEjdrQjzsYd2uKOHx/QLWreIoN46IWCHes+phDx45oPxLylXVHuH8b/V8PL6N8+1HWCcRkUz1kKnmN+qjq6ikejJV7rIwwBwcL7+M/QD7XDubanWcv5W1dYj7PfQxWcqvs6o8VEGYr30QjiF2HZwLQ9fFRN9OHOEY4gRj28Z+EBHxfczDVFqgJMU+DZRPyXHy14TraR9TmJ/vovICVcrYc9pDpOfXK+DarFZxvzCTnMlIxMA9oKP8V84Q52L/wX0Qt1rohRv3cB2Mh1inUg19WyIioy6uV1PNr6W8b2M1V6K8UcUi1q1aUfumiFgW9v5whA6n8QDHMRjlnVzfiqPWXqWCOWznW9ITahqqjxPska021ilQLrPRWNXawX54NC/0J3W7OE7dxbqvbbUwxhHuKaeXVyE2tnH2zU/hObUa5tR5BB19hBByKTAJpxMhhFxMnqhX7mI5ofiNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOJ1+5TAoldF2YFjpkpqvoyhARSRLlEfKVw6mEbhTPQQ+NYeDniYmOpyRBj4lXQJ+LiEgYoXdEe2gy5Z3yPHSZmCV0QI3HyhkS5n0cxcYhiK0E/SudLXRhhJHy6TyMPp1iA+9hKkeMbeblVnuuvgLiLMV7uCbm5Nbn8QJK8WGIcukEyoXV6uRyqC/tgni4hb4sqaLjyR/he9FwjPM9jnDuKib2oIjI6eVNiJsV7KHeCPu6qHw8xRLeczBGf8tAu1UMJRUSkdDEZVZWPdYOcZyrygFTVmvN8XD+syzf57HyQDVrWFvbxvXpKHfRqUdOQez7WGvtpanWsW4iImmMtbNM9Mz0BugVyqHcOQmWTTwvv8e4Lv5sMOw+5ueu8kSVS9hDaYZJeOp8MfK1T/R6VH6dwMe5SVOsU84RpVxH+voiIqEqzmCI+1KlhNcYKgeUr3LqbGAPFsuY05lzeX9PWbmpzm/g+q6trkBsqbWSKJfdcIQ9l5j5x9Xllx3BH6i1pcc56g8gDpSL0FbPoF1l5RU08/+tZvfe/RAXSug6ipT/rLW1BfGBfXsgrtdxrRqiGl9ETJXHYKzGpWprqbXkqLWzMLcAsa28cW4Rn8WPHoPOrakFvMblV+AzhxBCnqk8Ub8KIYRcTP4pe9aT4YXiN54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETIQdO55KJXQd+T46RApF9D2kVt6/YljoACm76MIwU/TxrJ5Zhnh6Fh0SbgV9S9pbk5n5HCwH8zSVNyTL0PkRx+iyMdTnUYZulHAbb00aosMl6q1DPLOE4zj/jVWID+6Zhvibx9GdEliY095dc7kcsgjztAzl14pwnNJDKcipUzg3kXKjLM2iG6U+tZTLoWRjHXp99O+cfgRdVr11dKEsHsZrFhOcO3+A1xMRqah72i724Nw0ulA22+iEaQ9xnGfWOhCHKTp+MuU1EhEJA/SvjJSPp6t8PLaF74N1j6bKSzXK8g6Y+bkZiOMIvV+9AY5z3969ED/48MMQW8qFFI9wTAWnkcuh76txhx08QHlnNIbyJ4XKMyfiiEa7ilKlQ7ItvKZ25SQp1rKkfD3aERWqdSUiEisHU6rmJ05xLkzRniic780WrgNdFxERR+WVKW+UpzxT4zF6h3QPulV0QjVVHVq9Ti6HShn9WDNNfGZ0OnhOGuIeZBi4Njv6Htv8Z5KP3/X3EDfqeM8DB9GvN60+b3eUAy7FfezDt98N8eu/9xW5HBZVLRemce2trOG+Nh6ju2p5BT+fqjcgrlQxZxGR9ib2xMwUHvPAiZMQu8oL59kYt3q4d840MIdaEV1XIiLNeXwe12fRC3jVtZfnziGEEEIIIc9O+I0nQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEwEvngihBBCCCGEEEIIIROBL54IIYQQQgghhBBCyETYsVw8VJJtLeF1lWTbNFC4KiKSRFrcjWLXUhFlpdNLKEx1CigG73VQsl2qNDCHbezF0RAlqqaJcmnLQelqZij5uInSXcfD8xu7UBQuIjLq9zDuoOi3NMK6uJ6aFiVAnplD0W+hiXXrdLEuIiLD4yiwnZlrQFwsNTHHFMdZXUC5rB+gnDrw2xB7QV70/dW78GdVG3smHqB0eWEJJel2gsLkVgd7cvk8SttFRGZnUPQ76KDQeGYePzeHeM2tZaxlV8nHkzHmbDjb9FyMPTIc4jnVItY68lE+bCn5tFnD44sWXl9EZJcS/7aV2DmMME5jvTaVlVsNa3YaRcLdbWTTqRJcZ1levP5YZBmOOyfVNvOSbf2zTJ0TBNhzOqcgwH2r08G1WyyifFrLyUVE1JYio5ES+6sD5mZnIfaUCDryMSfDzs93qYRi747qibISf1su7jG6baebuB9sbOJeXVefi4iYAfZ1HGIPOYK1Pq9E/UWV49JeXP933PF/c/fMVN69Pq7PSgWfIbbKoVTAvfSOz38R4muf+0KICzauPRGRcajk/qrnvALunZES/QcBrvfOCPeoYhl7TkSk0sC8t3p4ztEDRyA+dvI4xFONGsRnz+MftLAc7B8/zD/PV8+dg7jTxf29r/aE17/xzblrEELIpDlx020XOwVCCCHCbzwRQgghhBBCCCGEkAnBF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQg7djw5jgtxeWYfxKmNzgnTyHtIXBVnMXopEkH3hac9QkP0CLkWCj6iLjonRkN0Z4iIGBb6U6YXD+HnBXRfiKCnRHtnXOVWMYxtnC8uekGas0sQx2P0pxzd/TyIN899GeLqLDqiqnW8nuXlPUNzzzkKcapq3V8/BvHuy67A45WeZ/3svfj5JtapOrcrl8NijLUJu+hkOryI3qDV82sQb6l7hILukwOHL8/dcxyhmyRRPpazp85CfOLcAOLTqy2I+2PsKdPCfrDSfO3TBL1Rjo3j6I8wx0x5g2ZnpyE+fvIUxPPKYyUiEionS+SjZ6hQwtrpcSWpcj6FOIY4xjqa2/mWZLuffXtsC104SYI5JJlai37eGVWr4fodDnE+M7Weg1DvEZizrVxJvT7WId1mvkWU80e93y8WcD/YUE6gaqXymLG7jeMpUg4+y8Z79pU3aLCOddH+rDPLuJfOzaCHqtPGvVhEpKxqX6goJ18PfVm1Oo7rOVdeA/Gpk7g2j16Bn4uIDIc4Ll/50ep17PNjjzwC8Z49uHe+7nv/H4hbW+h4swr5R2agap8a2Jeeh/u1ZaF3qjfCnHsddCUVt5nvWgV7qFbF+PiZUxBfdvlhiO//xoMQhxGOIVC+LmcWn5siInM1fPYdX0dPVKOO808IIc8Ebly69mKnQAghT0v4jSdCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE2HHjqfR5imI+2snIDYL6HuwPfR3iIgUG+jwsbwpvIaJjhcpozPEK+9WV0S/ipGg16Zs5r0UhnLXhOOOuob28aiclL8jS9HnkkTo0hER2VhFV0lFO1tK6MIYnEN/UqmKdQtD9KuM/S2IN7fQESIiUm2isyPqL0Mcq3FEyvnTXUMnSGftNMSFFA1e4RjdKyIi00sHIG5FmGdk4TUCnCpZ3LsH4nIN+yeRfO23tnCcXgN9K+PqIsSnNlcgdlx04ZjKv5TEyjOkPEQiIrbyfpm2sp0lWGtLO38ayp2jnDFTzUbunrHq09YQfWm1Cp5z9jyO28hwbWmXUaLWWpJi/Ch5N823Yho4Dq+A67WuHDGtrQ7mtM01tXvKsfGaqVr/SYrrIlMyszjRviZ918ffQh013001X5bqKe1b0r4mvX+IiIzUeu0FyvEVKWeXqlNRu+pUHYYDXAfVat7fE/p4z/UROtocW9XKwJ76+tfugljrs3rdTu6eWYa1WZpDF1WtpFxIapwNFY866Cl67tXoxmu1cR2JiNx34psQh8rZZBVx/ksJroskwVqHau7WN9EBKCKy0Ub33K5ZfEbs2YXuqoePH4d49xI6+DK1VDdbyqeo9hwRkV1Tav8NcBz9Qf4ZQAghk+bETbdd7BQIIYRsA7/xRAghhBBCCCGEEEImAl88EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQi7NjxVKzVITYM5QQa9iD++l//Q+4aThn9G7sPoF/HNJX7wkSvxCOPoCtp38F9EM8rb4Vp5r0UhoO+DVN5ovwRjuPEia9AXKwqv0qIddB+DhGR2Tkcp2XgOC3l+JjZdyXE3c0zEEdtzLGufB6F4kYuh1qjCfFGdAxiM1CSjxRdV6tnlGdkhDlXZtCF1W/nPVMl1W5ZinGpgLXdsw/n11UescEYx6kdXyIiB/agFyqL8Z5nV/EapnI0ddU4sgT9O90Ofj5VRx+TiEiqXEdBgC6qeg09RPEW9lRF9Wy9hnM5GufHPa0cTqbyTI2GQ3UGfj63gGtp+SyuvVQ5wSTLbyWZYC0NQzuftMsIrzEaoSOm2cRx93p5304QYd8Wi7gHBD7es1jAvg3U+k0S7YTCz41tXt1nKd5Dv94PffRKXX5wP8SdAc5NOMYx+S46hEREBn3l8FIOpi3Vx66HPdfrqj5W/p6hmgvHye+trnJ0GWpfS0R7wrC2WYZ1G/Zxn5ubm8vds1rG+et1sTb9EbqpnnvVFRCvrKErqaj2oOXldYg9J+8ta7XRh5SZ2Meu8ow5DjaE7WMtY1UXN83XulIqQnzqLD4j9LO0qp5bpoM5Lq+hj6tg4z0Hw3zP9Ua4j/k+9m3U03sMIYQ8+Uza6XTj0rUTvT4hhDxb4DeeCCGEEEIIIYQQQshE4IsnQgghhBBCCCGEEDIR+OKJEEIIIYQQQgghhEyEHTueUgtdGufPnIb4+En0XHR7eS9FsI4+nfseQK9EkqADJFJOkMUGOn6aRXRnVEv4uenmc0hS9I54yr9Rqk9DfPnzr8cLGOjf6Kyi+6Y6O5+7p6lql8XoxohDdL6kyo1TqqA36PxD6HOxPZyL5XPncjkc3I/zc351GeL6AD1CawPMaW6mAfFwqHxcMTp/HC//TtNI0BPSmEOPkF3CcZaKOJ+xcgIVLWzfMMCcRUSGIY4r1V4ZswxxT/l00hSPD7TrxsIe024VEZGB8gYVXOyHwRDv6bh4zzDAulXL6HcplLCHRURMA2sVBngPU79zzrTrDN04NeWIaXewn0xTeY1EJM10D+A9LAtrpXNsNrEfxqr23jbrO1BraTjGc2zlrhn5WFvtLkpUXWwLa5/GOFePgrXIUqyDp7xTh/bvhfihR05CPPaxfyzJ95it8u4PcP6qFZy/8RjHXaujw2/s4x7luriOSkWsg4jI5tbWY54TRTg31TKu79RSdVOeqn4/7wzq93GcUw3MK4uwVqvn8Xi1HUhF1enA4f0Qt1bP53IoqbVRMvAZY5q4PnVd0hR7bDDE/V3XTUSk3UX/1WCAfa7X89mVFYgX59HpZeLhUlDPUsvM7+eDAeagn61ibbc2CCGEEELIsxF+44kQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIRNix40kydGcsHXguxHuO4KWyTPkeRCSK0OESBugREeWI0L4Vy8PY8dABYzqY43bemURJPQwT76nzThP0q0iGvo1yfQ5iv9/K3dNQ1yxUFyC2DLymoe9p4Lj3XLYfcwyVlyivgJHzD98FseOi06W8NAVxb30TL5DhRZt7j0A83ERf1/yR5+dyiAJ0gih9kiQxjqPUxJysAjpfxFBiEiPfc5JiX46UuyhM0IdV8tDHEsZ4D0N5hRzlKfIDdF2JiNiC85sY+L43SrFPK5VZiIMEx1VWjifDyk94vYpro6FqqR1AhnK4GMoR1eqi0ylNcJzmNg6Ygod5aqdToNxX2r91/jz6dOq1Bl6/gK4skW3GpWodq7WltTSZqrXlYP/oHs0k77GpKDfR3l37IL7mqqsgPt9Zh7hYQb+OqLnYbKFLSUSkWsH1HCr31GCIfiTbemxHm6fWQa+HazdTDiERkUoV8y46OD8r67hHHJg7APHZ02cgDmPtRst7pebnGxCPRziORHA+Y3XNSh39THO7cO2tnEMX3qbyFIqIxGojS1VTNZWbsKz6Vj+TPAt7NlA9JyIyHuGzs6p67twy5j07MwOxfhYXy+i6s5Vvq7iNT61Wx/k4vYLnJEk+b0II+U44cdNtFzsFQggh/0T4jSdCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE2HHjienPA2xaat3Vkbep5S7WRlvV1LnGIJxqiVACu1vEUHvyPbnq2OUC0UPQ3tnslQ7ofD4QhldKyIilo2+lLVTX4e4Wd8FsR+hTydGRZBkgRq3hX6PSrmZy2H9HPpVkqoLsW308R7K+bIxQMeLfb4L8RXXHMUbGvnWckuY16iP47RsdJ+YNnpFkgQLYdk4Bq18EhHxx+i2SaIxxFtt9OWMAvSSDMboUgl8jEsVdKMMuugYEhHpDNAr06yiV2Z6GsexuooemWGIOU81cC0627jMQuX9EuUu0p9rp9NAuZK0nymJsQ6Oo/xbIlIqodtmNB5BHCkHjLWNJ+pbGY+xDnG8jUdOL5bHwbawT7XTSacUhfqe+abr93GtfPOheyGebTQgfv6Lr4M4DHHP+eLffRFzsvK+ne5ArV+1MZWK6OOJ1frWx7e2cF3o+S8W874l7cfq+rhHHNq7G+J+Hz+fnkMP2aiHa9cr5MddKaPLrNtBZ1um/HgLc+jkKxRxz7El9wCAMEjyDjdLOdqcAq5n38e+L6hx1JWf6fg6us2KLj4/RPIOLsfGvr366GUQR6qnOn1c30mK68Y2cb7rNdyzRET6fRzXKMRr+gF6pQgh5OnAjUvXXuwUCCHkGQm/8UQIIYQQQgghhBBCJgJfPBFCCCGEEEIIIYSQicAXT4QQQgghhBBCCCFkIvDFEyGEEEIIIYQQQgiZCDuWi5sOykZNE0/NtJXbyIt/9Y+yFEWthqnTUeJeJRM3lBA3UccbWV66nClZrKmkuVmG97CU4NqwVA56TFlebhxHKJee2X3lY+awdd83IC5No3S3n6BkuTqN0t70zCO5HKb274PYVlLe6alFiNcfuhvivXvw/C//JQqPm00USe+bP5jLIYhQFlxWEvTExLmxHBT/Wrn5RtJICbVFxDDxHM9D8e9ME2sbB7GKlXzexrnyByjZDkOMRUTmZ/AeQYA5nV9DmXigJM3BGHOq17DHsm0k21mE8ueOEl7bFq6NQgFr3VdycUcJra2CkolvIzjXgnItsDYE804S9bnaU6IY5zeO8388wNR/cCC3QPXnGAZKBG3mJPn6XX2+9hr9Bwi+eNedEFfruBavfP5zIb7qisvx/K/clbtHmmEtkgh7JklQRq2F11qSX1RieD0XSZTf5wIlLK/X8Q8tJKrYnS7KxaslFFhXqpjTTBl7VEQkaeHa+a4q1vK06kEzxR6K1Fp8+KETEGdqbzaS/Hz3fdzXqnYDYreIe844wNqVlCh8qor74pnV5dw9PSUwdxxcn1omX1N/0KCg7nlqeQViPVfdLsrrRUSqZZwfUX94ozXMn0MIId8Jhz5+S+5nJ2667SJkQggh5InCbzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQg7dzzl/EvqcxWnef1Kzqeif5Akyr9kPvZ7sUTQ12Ga6LkQ5ZASEbFslYT2QCknTJoqQYvy0GQG5hz00KXzaGJ4D6+C7hPtT1m86hUQjztbEIdr90Nc2T8L8eHDV+VS+Orf3wHxkb2HIC4uHIF42Ef/Sq97GuI9u+cw5yuuxRxH7VwOxfoMxIPWeYgrTRxHqvpBu7KUvklkmx61LXShaBeO7WKPxQn6VxwXHS+lTDm/Cni9goOOGRGRTh+9T63uJsR6qbQ7HYiX5rAum22cm3270PElImJ5mGcY4lopV9D5EoToqbFUT7qOqq2B1++onEVELEt74dR6zvCarvLURMojpF1JYugf5O+htDO59R8pL5hjo/smVt6i/JaU36P0PQ3lnsvURT5z+2fw/Aj9S+uruP5L22yL3YFyF+VywrXjuOhLMgXnqlzGdVNUzqBBP+/vGY/RPVeo4DlGF3P856/Efa6ifFqdrRbmbOfXd3E37mMFtSm8uI4uso9/9ct4ATUXpoNuKyvDybSU60xEpKr28/4A12ehgD0lyhPl+zg3xSrmvMfIr+/7H3oA4rJycpkmzmfBwflsTGHOL2xOQ9xT8/vNR47ncnCVJ2rX0hLEp8+czZ1DCCHfCfQ5EULI0xd+44kQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE4EvngghhBBCCCGEEELIRNix4ylTghXtY9I+FzG2cZ+oa5iG9sbgNdNEOZzUPQztY4rQMeL30KUjImIrh4tdbuI9MuWFGqOvYxygf8XxyhC7VXTniOR9G4ah3TXoDcmUX6dQR/9GZX4Kr2/guOfn9uVyyFzMc2nvQYhH3RWIF/ZfCXF1bi/ETg0dT5lyOjmlfB16a+gJsQroGUkS7VNBL4nrYR0T1R9piHUQEbFszCOL0afy5bvQlXLyzCrEdqb6WpTAJ8Ie3tzM91yiHF+GclH5yqdVLuNcDcbYc646/+SpU7l7HtyNXpilpXnMcwPzHAwHEBeU00f7e2K9/m1dJ5GCh9cIAnRdFYulx/zcUc4n7ULT3iqRfA8VSugyyp1jYN76nnrfS7PHccA9+lO8hnI8xcorZai98r6HTkJcKWAdS1Xcs0REHCWW6itX2fk1nO+Kch9FIfaUoVxokY/H71vAPUlE5IprroB41xz24J7dixBnqnar59HptGsRj5+u4boQEWkqV9V0AR1rRg0/dx58EOL1lXWIy3W1x6jlXijiniQi4ihXYdHDvu4rX1KljPOZ6r5X66K4zT2vPnoU4tUV3Lf8Ea5XXN0invJOmeqezWmML09w/xcRefjcGYi1/0q7zAgh5FLkxqVrL3YKhBByyXH7yt1P+jX5L0NCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETAS+eCKEEEIIIYQQQgghE2HHjieNaeOpSoUipmzjPlEeEsPGOFH+nXSI3qCshG4Tw0T3RSboJSnV0REiIhLH6FcJlV9DeyqcMrpxSqgQEVF+JskC0RjGY3tidF20E8Y0MZ5uol8pHKLfI83QayIisn/3EsTnTz8MsWPiOGYX9+M9YuUZSrGOG+cegrhYm8nlUG7OQmwo/1KaoF8rDNCNop1egY85Gds4RcIBOlxWl9Fl9chJ/DxV/h3TxmsGY5zf8Qhju6D6QUT6nR7EUYT+HcfBtdTvo5Fl78ICxK1OB2LXzjtgQtVj2iMUB7hWkhjjwMdxVavo+Bn7yktj57eSwQDHoT1wiZpv/XlBuY20h0rnJCIyUm6bkrqGKK9Qqvxrjou11E6oNFUOOO38EhHD0HujPkfU53iNs8rXMz2F+941i3nH01994wTEtol7QEM51645iP6l01u41z50/BTEiw0cw129Ti6H77nu+RC/eBd6gYoV3DxHAfaYV8Weatbw+LLyEomIVEvoIjq2hrX7lY9/FuIsxrXXnEbPnOfg/PsBHj/qa1tS/lk43WhAvNFGv1bsY49utNDxVqvjWjT080Lyz4j5RdxvoxDzrtexlkUP+6Naw3VS87BfRkG+h6/wLoN4aR7398fre0IIeTxO3HTbk35NOp0IIQSZhM9pO/iNJ0IIIYQQQgghhBAyEfjiiRBCCCGEEEIIIYRMBL54IoQQQgghhBBCCCETYceOp1R5iOJgCHE0aEFcqEzlrmGV0CsRKd+GaaAfx66gXykaKeePUts4Ll4/3ea9mmnjMZ6Bn2ufRiZ4gJkpf4vgGDIj77bK1LjEUNe0lI8nw8/1FW0Ha5soF9ZAuY9ERKpldHjYQ7yHW0RXSqycTmmMXpJ77/4axPuPPg/iUX8rl4Moj1R1Gr0jgbqnESsfj/LpOI7qpwR9PCIiiXJR3X3/aYjHQ+xjU/mShsrpYiuPVOZgHbfWO7kcxsoLNdVEr8wDx45DvLiIPi5fuXBW1tBLdcVlh3P37CivlKs8NF4Za2eNcJxl5YSJIvS1pAl6aIZhvvaiamWovncc7AdTHT8aY89pj5Tj5n1ayugkkcpTO5u0J8qx0fk0VDm7qucyLbcTkSjOe94eC+3fylSfd7roAPrbL389f5EUr5Eo312stsIHzqF3aNjHdVCvTEM8PY978Zyd31vf//E/gPj3KriWbvn+H4T4qn2HIK7tRkfQbb/3aYg/c9cXc/fcdQA9Q7tr6CZK1DMmSbC2mxv43Nq7tAuPz9A7tZ3Tq1ou4xHKRdeoYI912rhf+xHeo30ac5pq4lyIiFiqTxvVBsTFhu5TPP+BY+j4c5XbqlJRjrBG/nl+4MAezEmt3/5Q144QQggh5NnNU+VTuhThN54IIYQQQgghhBBCyETgiydCCCGEEEIIIYQQMhH44okQQgghhBBCCCGETIQdO54s5YAwTXRMOMoRJBk6YUREYuVXsSwP4tEI3SgF5YBxy+jGSY3HdsiYWd7HIVmifvDYPiVR10iV08lQzg89RhER21FXzbB2maqVdsQMzj4AcbGJLpTu5gbEG738+8R2F50uW+fQI9J0MKeNHvqWKsrxsbDQxBwH6C3xiug1ERFJbJzPTnsF4pLqIdPCuYkCrG2rdx7iLFXCLhEZKb9St4Mum/EYr6m9Uo7qj8EY66LP94P8/E9PYa1aytmzsLAAcRCgG2WgPDWuWhf9HrrPREQaNXQ09dvofHLUep6eRo+Mre7RbmG/uC6eH4/yXjHbwp7y1Dl6dfYHOI6i6ocoxnXiWPnta6xcZNqfVKmgAyiOH9tdpR1QOkdL7YMiIsbj7Sm547HWnod10l4q7cISETEN5Z5TTr5utwOxrWq3dx/6erRPq17EujVn8uvbUtdcP7cG8f/n//sRiIsFNHJNTeMe09/AnOcWFnP3fNvN/2+I//aOOyA2QpyfgXK6zU3jXuqqPaqsnF7BOO8tWt/A/XdhDq+ZKu9fRXmozqv9ezDEHo4T3LtFRGbUej1+6iTEu5Qnbkr1ca2K+8PYx3Hp5/11zz+ay0Hvtpn671gHDmjjGiGEEELIs4tns9NJw288EUIIIYQQQgghhJCJwBdPhBBCCCGEEEIIIWQi8MUTIYQQQgghhBBCCJkIO3Y8ZTE6IDJlaMlMdGNYBvqbREQM5Y0w1Huvckm9BzOUC0nbUlL0sWjFT7aNXEV7oLSLytDOFuV4yjL07YiJDhDLwDo8egkc16i1DPHa2VMQ91bQjdJSHqH9u9CnlIboDApT5dsSkczHWmUhjmOs3FdXXrUfYrOMXpK9h66A2C2WMadtim+qn7VaOM6ucjZVqg2IbeWdaTTRcxKnam5E5Njxs3iP7gBi30c3kR+iXyXQDiA1rN4Qr1cuYx1ERGLlaAoCjLXTZzzGHHQtKxWc3zDK+9RS1efNJvpzRgHeI9L9oJxN2q+k3UjbeYdcVznalOOp00XvVFX1WFV5qjrKjeUV8ntMUeXlKz9Spmqp95SyyqE/wPm11J5kWflxb9P5ENmW2gdV7fT5xbKa7yCQHEpdpx1epon90Otj7Tc2cG0995qrId7cRMfXibvRKSQiUi+jy+wNP/gvIJ5fREeTdhlpB5ivXGdrZ/P39FurEIdqP3cdHNei8i9Fam0mar8vKyfYZgf3XpG8q2pjC2u1qBxuHfW552AfL87N4OeVfJ+LctE163hOQa09o4A99jzlbHruNZdD/KLrngPxnn27cymYulEz7LHEyO9LhBBCCCHPZOh0+vbwG0+EEEIIIYQQQgghZCLwxRMhhBBCCCGEEEIImQh88UQIIYQQQgghhBBCJsKOHU9JghIRy0bvhKHcGGLk32nl9Eq5c3So/RsolTBy98BYaU1ERCRVLiOdUzjsQxwHynXjDyFeO4eOEcdQYxKRrQ76VBIDx3H4yEGIXTUrly8sQZwGmEP7FLpv7LLyVIlIbQr9KktLcxBPL+zCHMro13FcjLXTJxhsQLy1if4mEZFiFZ1M9QbmkJnoQjGUP8tUdYt0HVpYZxGRM8v4szjBaxQ8vEeSoMPFFO3GQeePFonZ+dJLu4s9VSziPdfW11UO2KNTTXTn9Pp4Pc/NN3rkoz/HUNfsDbB22qejfVraQ6Xn37LyA9c/C5RvyVb+nVqjDvHmxibEjSmsQ7SN20rf01FxmuL6dGx04YSx9m/hPhdEyiOm6rotap9SKhwpF9ERpF1YwyHOVamEx4vkvWG2ck+VlRcsUY6gRG1bX/rylyE+uO8AxNdciQ4oEZH7HzgG8Z1f+huIpxoNiB0HC1FVLqtGE/uh20Y3kojIygp64bT7yC6ovrVUX6uHRKz6Ixzj/l+t5P15XgF/FiXah6aeOWrt7NuLe+/Lb3ghxM+7Ap8PIiKpyrtew56YbuJ+rd1m9Wl0vhU9zMlx8HrGNhubbbrqJ49dS0IIIYSQZxrPVKfToY/f8oSOP/kTj38Mv/FECCGEEEIIIYQQQiYCXzwRQgghhBBCCCGEkInAF0+EEEIIIYQQQgghZCLwxRMhhBBCCCHk/9fefwVblp7nmeC3vd9nH2/ypPeuMssbFEzBAwRoRFKEKIkSpVE3u9UdwxhedPQoQtNzobmZZovdEyNBo6bUHIUoihQFggSbIOFRqALKm8zKrPQnzfFun+39mgvMhZ5vZaOSFDbKvc/dm3vt///W71bFqh3PEUIIIYbCPcvFowkKkYPQFa4pLw63sMjby8G9bLzdpqQ1naHENXCy6UGP32/VwrLp6iZltF0nWS5vUPS8tsPPjz/8MPLeYyeQo/Hwu7z5GAXGA+cjDgKKnZNZSnWTuQJyJz2JPPvgHrYXDU9rxIlgez2KnqNOut4duMnypvaIk82mKLMdnaGU2cws5r7TdELrwNUQi1LsG0Q4ji0ner924064zyjXRKHANbS6RDl8362haoMy8Z6TSZfynJvNanjNtTtcxxUnm4+4jeGF1o0ma2g0OC5ePm1mNlpkXT23t7JpyoPL5TLyuBN5JxIc+1qdNTWbnEszC4nX/X7POsl6y91XOs3PaxVK1dPJ8BobG6M0ud1lXVtbZVcia/Ty6HKZfSaddL3h5NN3wwvMvQDdy8T7A66XlBuHvJtbM7O8W5edFu87EWMfuSzH7s4d7p1ojGvy6o0byOubm6EaTp04hhxxFvWD++eRFxbY5q3blMnfuMU/UJB142AWfg6lU1zXCSewz7g2Nrd4H5EIz0V/DN6thk6nzT7cc8p/nsvnkB999Czy44+eQj64byLUpz8jIu5sTKR43x13BqXd/Pf7XJOxmP8jDGGhfaPJc2cQsA0vXRdCCCGEEG/NX1bs/W5Bv3gSQgghhBBCCCGEEENBL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRTu3fEU0BHRH9ABEQ35mpzIyMwCrwkKXUBHRML5kgY9eks2b15CXl8uI1fW6QwxM6tt8porm9vIv/yrfxP55MQUawjJrejOCd2TmQ2cRyYa99+hTyeepMMl5ABK8PuDHufGe2vMzCIhfxKnvuemKxphH96/1RnQWxLps4bBXd5pBgH7jFM7Y13nQonFvFdoB3l9hXOXv4uHZHyU7qnN7SbydpWekrbz60SivI9cln00Wqy5Wgv7looFzuftHd6HdxlF3XzXavQINbrsczSTD/UZOEdLl7dl66t0mc3Nzbga3N5zYrKC89T0+2GnW8t5hrxfx3ujev0u+3TLuNOhfyebDTtkYs7pU9/m2Pk2MhnOp7+PqJt/v8H9OJmZRaI8x+Ix1pRMceH7cWhVOW65HMc6Gt7eFrg6okm26T1Rfhzibtxaba6xvPPM+fPAzOzCJZ7HhRz33toaz+NkmjX6+ay5vRR1HiMzs8CdU33nukqlnOuswzVWKLDGstub/QGvb99lvuPO+1Wr0X82MuL2p5u/gXFzjo5xvi0WfkwP3IHt11y9xnMuluTn/bZz/DmHX989rBvN8JMtFnWeKbcmul2OnRBCCCHEu50/X3r1x9ree9XndDf0iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ+GeHU8D5/AJuvRY9FpbyPUGs5nZ6gqdHdPzu/kd55HI50vI33v2JeTNxQXkHedvSmfp9zAze/KDDyA/9eBjyJGYkx05H0fMvapzShHrOd+SmVnMyYwiETfs3gHl3gc65Y/1++76mPN3DML+FQv5UXiNd7wE/sYGdIIETt8Rcf8QtbCPxSJcM4Mur4k5n06355xP7h7GSvSz9HrlUJeVOn05na67D+dKaTk3Ss87vNxkeKdMLhP2DpXLrMs7neJu/ja2uHeibtFF3fzniyOhPtMHPoacNK7BeuQ8ciZbRW7WmPNZemfazsdVr4fdVjOz08gxN3aVCvuIOM+Md8TkC3Tl7NuzJ9SnX/sd10ar7f1JnK+68/N0upzfRpPrI+7cOmZmqRTdN11/JryFJ65U4nzGXB+Du/jzVlbo7Dp8+BC7dH36sU3GubcaDbqxPH7dm5kNnJQrUfDOPueyarq5SHPciiM8v/t3O1vdmRGL+bFiTb3gR+9n7/TqdXl9pVoO1ZDLcG/EE26vOVfV5MQE8voG2+w5v1Z9O3yeD8ydOwV6AjN5jl0u68alx/uOJTj2rZZzRA3CY28R533s+YUdXiNCCCGEEO9Uftz+JkH0iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ+GeHU/V7XXk/MgUcnSkxM+z86E2irMZ5MA5XUacImLQp4fkYx9/HHljdS/y2uoG8n1n7w/VEEvTExM150fy7pIIi/KuFO8IiUTu9i6Pjo5g4NsMNfqXuj4S5TQmEuEaej26jSLeTeM1Is4rNAjoZ3G6Fus5Z0zUi6nMLAjoNopE3HeidKMMIpyLIEEnTMz5V7rtsGeosrODvHxrmZ9X+J2088zcWub1oyP07wycU6jWCNfgr/GLqOb8SN2O91BxnPp5uo36x/5aqM/Xv/P7yPtmeF/pGP1Y/WCOn2dZc985nXZqnIvpKZ4HZmbRCNeYd13lC/TQ1Bt0PrWd62ZsbAy5WaePycwscOs6HufeiMeYM1muyYZ3fDm3WdT8fg+vc99nxJ0huSy9Ut0O5zdX4uedDl06W1vlUJ8zsxz/lHMVtfwacmdrzNXsbT2JpHME3UXf48+dgfMCdZ0Hzq/zRpPzPVLkWR12Y4WdexF3397ZlUy6M8b50hIJHmz+vltN1mxm1nfnc86tseI499rcDNfx/G7uvWqT47S8SH+XmVnX/T+jJ57g8zaX5bPWPxJaEY619f0ZxTi4y38qpJ0Xqu0ce412eKyEEEKE+Ul4ZT41d3bofQjxbkNOp58s+sWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYaCXjwJIYQQQgghhBBCiKFwz46nkcldyAOnNokEfIcVTYebjrnu+n16YiLuPVjgtBOZAt0Yu3Ml5D0HeL1XJ/3/e3XJy418G7xR752KOqeIBWGvRTCgN6Tfp/skYs6fFGPhAze28SSvHzgPTb8Xviffh6+h36NnqNWgGyXqfFwRN24xV2PE+ZrMzAI3Nr0ea4gn3YR5f0uXXpJaxfmb7qyG+mw1GsjVGj1CXedf2ipvu5roMYnF6HwJnPMnk6Fbxcys7DxTLecuarToFfJOqIEbiNG9H0LOxcNrrn3y02yjx/u2ymXE1Y3XkYsJ+pdyWc5nwkm+inm6r8zM6k2OvfcIVSsVfu6EPVnnQkrG3T6Ih8+YcpVtdp17LJ3m/KytbyLnMuzT7+9Uiuvhbo4n76aKubr9d7K5HD9341Cr+b0Y/v8FyQRdVYkMc2WTc7F3zz7k82+8gZxO8/utFs/qwl3m2zuevE+pUuUa9O6qQp5Op36bn0cj4fnuOW/UuHOwbW1xfvsB24xFuY69+q5Rd268u8y39yn13YOntcP9vdDlORWNc5ymZ8aRD+8N+9OaLda1vcV1n3WuqnaUZ0rCnWtxd5433XzHnM/JzKzt3GRBlGdGNs01J4QQ71XkiRHi3cE7ca9e+8IXQ/928Pd+7W2oZPjoF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhsI9O56cdsYiEechMuao0aVhZtYf8N+8gylw/px4itm7byKBr4FE7+Lj8M4mc84m7+yJRtlHzH09iLDGaJyOmB/W6ZxOzn0yYAkhf5b57N1HgRsnC8utIk6Y5TUx0ST9HL2uczg5x9PA9dnp0zkSDMLeoYFzgqScT6fn5jfq+ihXnK+pQV9XrRW+73KNdbS7/M5gwO+kUtwSA15uvb77B79eImG/VrNJX0qrxfsYGH06oweeYA/ZIttrlJE3byyE+my5NZWbmEeu5h7i59E3kbNZNtBq0CGTSzsXUiQ89t7pk3cuo2aT7hvvMvKeofHxSWTvzjIz6/VZR71Bd5l3PPW7ziOUc646t9kicc53Khl2mW07T1g+SXdR1J1zCeeqSsXo52m4cfIuLDOzasifxHWfTrNO73TyDic/9t7pNFrkeWFmlkyz7qS7j0SHnqCoO4u9Ayzqci4XPlvXt7aQt1xOOZdR3TnfLOB9e2LuoEw6d5JZ+P/ebDj3nBU5dmMR59/a5txdv7GIvHfPTKjPVIa95jLO+xfnfWfcuo+4Z0S7xb0Xc96pSM+fe2Z9d3bG43Sb9SJhL5QQQrzTeCc6X4QQPx60v99Z6BdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYbCPTueYs5L0neum4iTH0XtLn6HmHMyeR1OwDb7wY9+L+Z9S07HZN2O83mYhcVSjoGT+gRRujMiCec6GtBrEenfpX3vhXICHu98CfphT9B/SrfFzwfOnTXoh/1a0Sj7MOciajbpwsmm6KWJuJvoBs7h5BxPd3Pf9Jx3pNPxcivmWNyNZYTroVJ2ThEvZDKzeo3XVKt0mQRuEXa92yrGLRI4V5bT0Nj2TnjNxdx9F0rT/HyUOYiMItfccgjcfLcidB+ZmcUHdDJVl68hp9zYBn2OSz/BmtMpzmcyRU/NxsZmqAa/17bLZeSRonNXOc9Q383N4iLdN5ls2PmzsbGBHPHv1l1NCXdfgfs84+6z2aZvqdnivjEz6ztvXM65rdptrknvvqrW2KZ323n/klnYj1Wvs43iCPezb9PX4M/3uFvolTr7MzPL9TgfQYp9eD9SkHBnksO7rOLR8OPK19Vw993rca/4++r2OBdFtyanp7k3p8dLoRqyBY7d5BivWdvk3kg671S7ybNzdnaKfc5OhPrMeU+ge5R7J1+tRo9UxD0P4lG2l3IONz9uZmb9LvdC3411LHPP/3khhHifcu0LX/yJ9/l+cb58au7s212CEEPn7djPB3/v15D/c88x3957Gf3iSQghhBBCCCGEEEIMBb14EkIIIYQQQgghhBBDQS+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU7tn+6aW7XjbuZbUDC8tIfRsh67bx82jECZDN9eFkpuak2p16WHgciVPMm8pSJjvwgnMnVY06wXU0QmFuf+Ck22Yhi3rPyaITCf/+z2V3X4HLsWSG10fCNQRuLGNRymNzxRIriLLIfodtJp3YOdZx4xT3c2uW8mOVZpstJ8Dtdyj+vX7lJvL5SyvIS4vMZmEhdbvjpfhcx85nbLEYx6HWcHMRc4LrzK5QDQMn7m0MOF+9CvsoZChuTmQphg68pL+1Feqzsn6F/9DgOKSTBeTZaQrKGw3WNDlO4XnDCbIrjbBku+1E3F5YvOGky15w7fGi6KpbL2ZmjSbHLub+OIDfz170HXfSZX/O9Xpu/YSXuUUi/g8xOMG1u4+QILtFQf3EBOXSOzs7oT6TKffHHNxZ60X+vs+Ck2r77/e6/H7K92dmjTbl8H4zpRPsMx7nvohHeX3fj/Vd/jBEJsnz3E9Hx9XtSSacVNsJ0Odnx5FzGe5FM7Ojp/YjnzlxBLne4pqcm51DHrg/WBCLc/0k7nKWxmKsu+vu0//RhFSKY+//2ES7xbPYr+t4nONiZpZMl1wNrg370X8kQwjx3uftkIe/X5FMXLwXeSf8MYC3kn+/n+Tg/7noF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhsJf2fH0VtzN7xCJUhwRatPHvnM8uddkkSjLH7gLoomwjyOWoJukWa8g913ZqSTdFkGXfbZ79Mwk4s63ZGYD51dKOI9INMqaBj26Uryvw5xvI3Bmk2gs7OMIu4w4VgPnvqnWNlwNbDPWplOkP2ANd3PfxNx7zp3yNvLG2jry4i3mS9fXkNdW6XRqVOjGMTOr7nB+bcC52K7QQ9Rs0b/Ti9J9E03SU1Tr0bUySHCczczaxvmNOx9Lv08HzI53XS2+zhr6HLdIL+xXisXZZ6FQ4gVufto9uo66AWvsLPHzWpPj1nDZzKw4wv23vUU3USrl1rE7D6JujaYy3FuLS0uhPj39Ae8jl6RHynujau48GB+jX8mpcKzv96aFPXCtFscu5/1obm82Gtz/4+OsOZkK7+96nWsglfTzT6dX2AnkHW3u0eAOxtHiSKiGnXIZOef8S6kEF93AeYb67gHQ7HAc6lscRzOzVov3kUk6l5E7iLzL6uQx+pkKBY71iLvPqenwfZ8+exS55NqYjNMTFYv9aN9SzLmxGvXw/vYPy2yW8+vXvTveLe7cVm/ldOp2nE/RzHptboaYf4D7NSSEeE8hf9Pbi5xO4r3Gu8HnJP7z0C+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgyFe3c8OSlM4N5ZRSPeARWW/PS63tHh3ETOjRJ6LRZQVBHWTvEfktmivyBUQyLNa+LOjRHyzsTp40gmS8h3cxtZj21aQF9Kp0XHj3dAWZyulKBP30bEjX00Fp7WgXO4dHrMrWoZOeUcQZbgZPS77h46HNfKFh1RZmYb6/TnvPDKFeSXX3wFOePGIeO8JO0mHSO3Vu6E+txq8z676d0u70Ju5njfkR7vu+1cN7Uu20/dxfnj56vX53rolS8j9+sLrgG3qJzbrDQ2Feqz12WfqSzXUKvJ+Wp7Z5eTwrTavD7u1lj8Lj6XWtU5t9xteLdR03mivD+p1aLzZ3CXsU4meJ+dLteIbyOZ5JqKDvz+dn4u52tqdpz0ycwSbiy8Tyl0X02Okz9z/LjEouGxzmbojUqnWHfKZ3ffvsaIO6Nyzq/Vcx46M7OxUfqP+s7zl8mVkP2Z1Oqyzc0yXWf+jDEL+7LSxTHkw4cPIM/vorMrGku6zyeRz549gZzPhsc+EecZEXH7Ne68gt0WnU31Js/FTKaEHLuLs8+vsbYbG/951M3FwJ1Jfa9wcs8U72c0M4u45/XA3XfMwr47IcS7Fzmd3j7kcxLvRd4Op5McTm8v+sWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYaCXjwJIYQQQgghhBBCiKFwz44ncz6OXo/ekajzUESjd3mn9RYKp77zL/V6zlvhvCQWsPyBczwNnMfIzCzo08kSTdAREndOF6+R8a6MIOLyXdxW3gvl20yleV8R58bwvh3veInE7iaWIrEo+wg69KlkC3RdDQZs03tpAjdX3Y7zFjWc38fMBq7uxcU15Fu3V5EzGefr6XDN5VM55O04fU1mZvm5Q8grA+86otwkXuf6aLv57bocS3FuBj36uszMWrefRQ7aC8gR8z4W509Kce7SSd5D5C5rbnyMrpvaDj0yHedsSrs12GzSQ5Nyfq1Egmu04z1mZpZOs85ohzu+6zxUfo35de+dbnF/HlhITWMZ55Hy51I06j6PeccT+/Auq6T3sVnY0ea/03B7o9/jOExP09m1usp9Uixw3f+wTzqYvOMp4+bC+7F8jXHn74m5M+Zu3qFUwq3jKK/pOLeRbyPpXEj5LOc/ORp29t136jDyzPQM8tgYvzM5NYrs18vuPXRAZdMcp3Qy7C3qeVdhjI3ubNxCbjstWLbozt6AeykWchma9Z0PKwg4lv0B15R3kRUK9HHFk/x+u8n201muLzOzWoUOrpTzgHlXmRDi3YWcTm8fcjqJ9yJyOgn94kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ0EvnoQQQgghhBBCCCHEULhnx1O3Tb9OyDuUdE6gftjvEAmcNyTO70RiLMd7ZQbOM+V9SpHAeahaYd9OeqTEOqnCCHlkohE6PSL+XZ3X6wRh1023S09IyvlWAueNGvSdRyjmnU+hLtheMAj9WyTiPCRxjm2/y7r7Aa9vNHaQ61X6Pcrr28jnz90M1eAdTjdu0n2y3aSH5ObyCnIiVUDedeox5Jnd86E+11tuvurOVdWmb6cdce4qN27BNmsuX/s28giVYWYW9gy1YnTZpBLO2RTxe4kTHnfOsFQy7NtpOYdT162JXI6eoGaDTpdSiY4oX0PHOWNGR3i9mVnXuYvaTm7TdWuuVCqxpibPnMD5lmKx8HvztrvvSORHO578fXgvVSI01u6Mci4lM7NWi2Ppx9qfY7U63UdbW9xL/vt3+/8Fd/M+oU53H7EYx3Jju4xcKNEBFHVr0s/tDxt1dbnzuN3mfMejbLPinjHejTeaCXuG4inOVybDvZDO8D6TzlWVd+PWc2d1ucK57LbDZ2txhHVtb/G54/1bqSxrGLh9EHVddPtc02ZmQYT32WrwPM6k+Xm1yjWW815B50OMO99W4MWEFp6fRMjxpf+vJYQQd0MOJ/FeRA4n8VbovwyFEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDIV7djx5sVA6TTdGP6DzIxIJv9PyzoeB9yk5x5MXLoXadN6JgTkfUzIs3PF+Fe+VGjh3STTCPvrOvxRNOAdQ/y5+JefX6TnXjTnXyaBP50fMaaMC47hEk84ZFYTH3n/He4QiUY7LoEHfSqRH18n60jLy6lqZn1fDXpJEnq6Tydk55FuujdtvXkaeP7AXOT3DvNOlt+SH/8axbjunT2yFfdSuPO2uZ00d5y6LOadXLDYeqqHepH8lGec4RKN/OadTxvlZendZc6POlxTae27vxOLcBzF3fc95aHbP06fVdl4jM7PtcpnXuLGfnpxEDtx+78Z/tDPGO+LMws6eRIKuG3/f3Tb3e8W5yzpdfu7dNxnnhDIzGx8rsc2Km3/nwom4c7Dj97+772Yv7JHzHiifvV+p26WHyI99s0H3WbFYRF7f3AzVkHDCu5Ybu45zdsXcuk5mObaz4yXkPXsmQn36NbRrfhY5k+bYlfJ8JvTdfWcLeeR0jJ9X3bloZhZPOV+Se7AlY84r5/xMEfOfs/1oLOxwq2xtIRdGRnmBO9+zWd5Xwzndgh7XqCU4Tol4uIZ8nh6wvhMmdro8x5I/WkMmhHgP4v0r177wxbepkr868jEJ8UPeDoeTR06ndzf6xZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhoJePAkhhBBCCCGEEEKIoXDPjqdEmv6NdocOEO8hidzFCeH0KmHvjPPneMdTLM7r2y3WEInydpKpsH+l16J7KIjTS9Hv8PNUwnmDAnpqug26U4Io/T1mZrEE6446t4mXvPR6zKl8iZ+36WcZBM7P1An7lSJxzl/gPULOE2VpOkKiMX7/5H10vpyOcJweb5RDNaSy9Ia88fKryKNFjl0qzhp3KjvIV7/1O8jl8l28M3HWFTj/SqXGsYw5/05vwHFIOidY33nFOs4pZWaWdJ6hVIq557xiabfXiiP0syRcDaNF53cxs2qj7trk/NbdfYecX25NHtpPn9bAjePG5nqohq67r3jsR7uqBk5uU6vzHrxPyddsZjbmXDcZ59+5euM6svfneDeSP9cC72Pzh5qZVWs8l1Ku7pY7gwrOn1Rzc1N1OZG8m2+Ha2TDOZj85wnnzyqO8vOoO4pbzuGVjIcfHX33b+X1DX7ufHj9CtfHGLe7ldMcx5FtZjOz4mmObanE+ZuZpQMq487zpvPt5bJsb9Dz/iXOhZlZ3zn8ks6X5x1OPnfdWKcGrLFTd/4lu4sPrcW9MnC+rWyGZ2uzwTb7zn0Y6/Dz7l28gd0O+4xEuL85u2b5sVATQoh3MD8Ol4qcTkK8O3kn+JzEew/94kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ0EvnoQQQgghhBBCCCHEULhnx1OvT2dEPE4XRtx5jHq9sOvGqSws0nd+JeeNiSfCLhN8nqYzKOTO6NO/ZGZmztESd06fWIyftzu8j2iU/o1Ikj6exF3cVhHXZqdZQR44z0g86Rwf1S1eH3DcIuadUS6bWdc5WqLeEdJlm4Me/R2xiFsq7pVlq83rk8mw62p98Q5yrckavvHtHyCvrm0j991t1bxLJxm+73SWY5lwrqtsjnVubpWRSwX6d5puHBNu/rt38WvFnJMpGuHgTU5MsA3nRhorjLj2eJ+rG6uhPpMp3le7zbq888epjGy0yD77PefbqnG+Ox1vdDGLOQfT1NQU8uQE/TtXrl1Frtbp09k9O4dcbzVDffacu6zunW5u4TYaXEN75tnHraVl5Iyb78zdPHJu/vqupmKhgFyt0qcTd64k78K72xlz69Yt5NhbtLFrimNf3eGZlHJOt9UdnkF558IyM6vt0MFWc2skU+B5XXPzG01wXUe2uH7Wna/NzOzcuQvIi8tryI8/fBz55IkjyFm3T1JurwXuGZXNhec77uaj2ea67LmzM+hyTfqzst/jc+tuLrOU93y5OmsN52xyfq24m99Gm2swn+MavdvzPOIer07RFvLlCSHe+7wbnU5CCCF+MugXT0IIIYQQQgghhBBiKOjFkxBCCCGEEEIIIYQYCnrxJIQQQgghhBBCCCGGgl48CSGEEEIIIYQQQoihcM/2Ty84jUYohg6crDoWpbzUzKxW20DuOjlwbmSMbfYpUA1ilIdHo678gELVwNvMzazXoxzaeZ4t7gS3sRhriESctNVJWi3KGs3MbODkwCmKW/sRymYjUT/W/H48Rhlto857GnQp9TUzSzrR6yBwdTqxuxeYe+Ft18lskwneU7sdrmFzm3X+3u//MT/fpOC2UKLYO+EkvTOTlFVH+2EJb69JefT25ibyeoOC45aTaGedODiVply45WTjdxXquoU4O8u67yxSYL1n9y7kuJMqL67w+pwThZuZ7TjR80iR15QKXi7ONZZ0gnsv+vZSbr//zcKC61KphPza+TeQBwOuyclxStfrLfa5tV0O9enr3nTz7c+xw0cOIy/cuIGcSLA9/8cGNsvhGmZnppFTro2mE72bq2mrTKl+wsnpiyPcF2ZmS06Cnkr685dju7bFNluuplp1Bbnu5rtYDNeQTvE+G12O1aDqnhFOkN1qci8VpjmOZ+4/FupzcnoWeX7vlMszyIkU130kyv3e2FlnjTHeUypP+biZWbfFNVbMlJAH7lhq9jnW8RTnou3+KEbsLn9jo1l2zzG3hopufw86nP9kguf39Pg4crnKZ3M8znEyM+u02Wc+zzOkXOF5ztkUQoh3Jn++9OqP/PxTc2d/InUIIcR7Df3iSQghhBBCCCGEEEIMBb14EkIIIYQQQgghhBBDQS+ehBBCCCGEEEIIIcRQuGfHU7tRRs7knNOnTgeId06YmaWcqyZdyCJ77VB3QM9EMka/jg3owui16KGJOD+HmVk86lw0AZ1O/R6LiEW9YMNnvruLhm/bAndjgXd4xNlGt0U3iqWc66rNzyNG/0a+WArV0Gq7sQqYzXlHEnE3N84BVKuvIb/y4tPIuQzXh5nZl7/6HPL1G2zj537up5D/1//t37KmGGso5OmZWdlaDfUZC7jE024+x8boNmk2uea8p2jbuZO6XY7jWD7svhk4H1rFuU8mJ+gySiRY4607d5CjMa7Znbt4hkacTynt3FPrW/TSeJfR5Bh9a77mYoH3Wa2HnV7FAtfADedPGjivWN85ntrOO+T3VqVSCfU57lw16Sx9aK0G5/fK5auuBuf8cdcnUzyDZqY4d3et0/mxbt5aQO50nCfMeeMKxRzyrdvXQ33670RdEW5obXmFDqdMjvs94VxZyUHY8ePxa6TrHE8dd+4Vs/QQFYqcq+lZjm2zx7kwM2t3ObbBgN/JpTguS8sLyIf272ONUa7rdpPtm5srMzOLcexaLa7btBvbbJ7z2XZuq5xbs/1B+DmWLdE1lXBuwo6rwTv9BlE6nvy5551/iWjYI2dxPvPbDd5HtxM+E4QQ716ufeGLb3cJ7wju5oCS9+neeCt/1jsRza0QPz70iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ+GeHU/xhPNOOFVSxDlG4ndtme+5Ol3vwqBHImLsZNCnlyISc+6jOGsYtMNOkGiULoxYlN6RYOB8S316KxIp3li3S3dGPAjfeDRG30rghCt959OIJV2NEeaBG9xYhC6VgfNW/bAG5+xwvqRokmNn3lXl7jPrPFLpNH0+/+R/pp/JzGzP9AzyqMvf+Do9UZ/91EeQ11e3kN+8QdfNxNhUqM+tLX6n5XxYgXObdJyzqVmltybp/EujznUUSYbnv7pDF1HP+5JGOBc3b910fdIrFHOOp2Qy7IAJBtwrW2W6atySs0SC87/las5k6KlphvaWa9DM0mnWvenmwt+Hr6HuvFFl59fKuvbNzFrOC5WMcT4m53bx+g6vr7j5Hri96v1bW9vboRpu3aaTK53h2dnrcW5izkWXSfP6jY0N5Hg8PN+RiD9b2UfUOdr8fW26PtLOZdXvc994J5iZWde1mcvRZVRwzi/v6Go6t129xjW7e/ZsqM/HHz3KPsa4HxMpPlMmpzi29QbXWNz59pLuXKtW1kM1FMZ5jqXcXmm02Ecs5s971lzboX+r2aRLycysMMo+6w3Od6/F51a+wLnwbsOmqzEV5+dt7x208PM2muTYZbxPUQjxrkJOp3vnL+sueq94g96Nzqa/LO8Xp9f7YS7F249+8SSEEEIIIYQQQgghhoJePAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKNyz48kilP5Eo04C5FrqO9+HmVk84fwZ5jwhXXopegPnRnLtBW36WALvIcmWQjX4RgLn/Ik6h1PMOX/6zp0Sd64T71IxM2s7j0jIjxLlWHm9Umgsnc/F+116HY6jmVm/7zxQzpcVi9Nd411Hb567iPztZ15HXtraRH799UuhGjqH2OaGc7zUd+jLqe5MI69s0kOTSdHX4l1aZmbVKu/Lz0/NzU3MOcCKzkuTcOs+43w7K6troRraA7fG3F7yY+3dSF3nBCqOjCA3GmEHzOZWmX26+06lf/S4eL/OIODG8WsyuIvOpe7qymadN8i1USrSdXPw0AHknP/+Xfo8doTOn8vXriDXtumJ8t6pXJ5rqtmgA6pUKiH7cTIzmz9Kj9R2uYzs917beaa8G6ne4DnnHVFmoSPBgh73e6fjHD5Jeoi806nd5fdjrgN/DpqZjbp16eus1bnfx0u8/tjhPchnTh1G/qnPfCDU5+Q414x5vV2M8+nUdtaqc/46fefT67DmdKEUqsEG7rx1fSbi7rnkfIiNgPsglR9j8/3wuRZN8lyKdnl2pnP8vO/WWNftnULOua+aPJNikfBmi0fcGeA8kOlA/19LiHcTcjr95JBP592Nn793o/NJa1C8Hei/DIUQQgghhBBCCCHEUNCLJyGEEEIIIYQQQggxFPTiSQghhBBCCCGEEEIMhXt2PEVjTp7h/A3eMRKLhZvu1Mv8ToyemYRz9kScVyLqBB2RpHMlOTtSMAh7SMw5egJ3HwPnieq7HI/zvgbOU9Nth/1KcecBCpwQx6uJIhHXh3OABAN+v9Ogp+RurqOk8290XJsD41j9y3/xB8jf+t5zyDcWVvh955B68P6ToRpW1+nTub1wGznjHD4vv0lP1NH9e5HPnX8TORb3ghezeJzzm0jQr1Kv033j58a7j7puPdSaZeRBIvwuN+FcZVG3htIud5wTamSEvpaKc2HtVMKeoYjzSI2P0RsTT3KsFpcWXZ8l5IJzXV27fh05lrjbUcKxPHnfKeRskvNd2+Z9jY6NIlebTeRENNznG+foHosmeMYsr3DdJt2ZMzszi7zlXFndHt03DVeTmdni0jKvca6rpDu3shneR9c5v6LuPoOA68PMbBBw/1ng/Xhcl+02nT/eKzYzOYXsfVz+3DMzyzs3VT7DNrM55v2755E/8IH7kD/4wTPI3S5rNjOrtHhuJd2SyGU4Vq0a5yuV8b49NhDhcWGdnn/mmMWTfqyZ+wHb7Hec88k7/5x30D8Xzcys551dXOf+edx3N5Ly0+fOxYSx/eU7XNNmZnv270NOuvuoD8LPISHE24ccTkIMh3eD8+nd6nQ6+Hu/9naXIH6M6BdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYbCPTueIr0d5FiqiNx2OqVoWLdjsUye1/iLIt6Fw8/7Pbovot4zEvj3aGHHRL9P74z3QEW9HMP5lKKuzU6f3495F5aZBd7R5HLMeYQsws97zvniXxf2nd+l2w37V4KAdXbdfP33/+ifIudGOb/5kXHkdHYTudXjUtpe53oxM3vwNB0up04cQq5V6XB5/SIdTxanh+TwgX3Iq5usycyskOd9XL16Fdn7k9ptjvXWFtsslegdOn7kMHIq7aQwZnZj4RZys0l/SqnINiu1CvLmJt1HPeeZyjg/j5lZ0rmNKtUq8vh4Cdnf984O58+7y0rjHNdPf/yToRp2amXkTpt1b27T+bV/125+343ToM91HY+G1/nkOF1W12/SI5bN00NU2aEf69A+esQ219aRq1Ve731MZmEPXCZDR8/oWAn5zp07yFPTE8jeEdVzZ5iZ2aDvzzqeQ+lU1tXIQ8TXOBj86DXmXWhmZnU3X/O7JpGffOwh5KLbe+bGrVbjITU5wXswM8s6p1oQYd2Bcw3GUtwX/hwM+s7HlXDtRcKOp27brcsBxyEaZZ8D95zr91hExD2DAudvMjOLufns1HlGnH/pIvKhBx9Azqe8h4o5mRpBPnjYzZWZ1Zwfz6mprNsKu+eEED855HQS4u3h3eB8EuLtQL94EkIIIYQQQgghhBBDQS+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEUIsHdZB13obX5BnKvR69QPE8vSdQLH8wsGqVHInAekcB/J6CnJOJcSAPnuul16QiKxMI+Dgu8C4VtRJx/w/uYBs7HkUrRjeL9O2Zhf04mzbrars2o8zHFEvQGBc4r1e/SvxNLhN8nJmL8t7/1D/4x8uzkFPKOc9lcvHidNbq52LNvHvnm8kqohkyS91HI0rdz6/ZN5MmZGeRes8nrl5aQ6xX6WczC/pSq8ydNTk4jt9tso9HgmioW6TZKOi/N9AzH0cys1WDd/Qi3XL/jnV7sc7RUQn7j0hW23wrft/en+TbKOxyHiUk6vD761AeRmxWuh8oOnTK5Its3M1u4s4j80IP3IzfqrPvcK+eQZ+c5/6VRurCWFjn/ZmYX3ryMvH//PuSIc7bduMk1VxqjI2rFrbF8wTmiKm/tsem7MyGdoS8pnWJeW1/zLSDFY2GPWDxOD1C/788pfqfT4fk97u474db1qBv7aj1837Eov/Pf/le/gDzos8bHHj2OfPqBh5FXb9HH1nX7wix8/kajbm8NeJ+ZFF1FEedsGpjbq032GcuFPVNB4J8znK98jjU2G9x7kQjnJuH8W5Fo+DnWds/fZMI9h9qcn2Dg7sNdH8R5X70Wa4xGef0Pv8T7HLg+vHZsbu8T4TbEO4r9v/Wbb3cJ4h6Rv0mI9w7DcEB5z9TbwcHf+7W3uwTxE+TGr//GW16jXzwJIYQQQgghhBBCiKGgF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhkL8rS/5IVEncc3mS8g9Jxq1XthZ3u85kbd779V3NtKoE2IPnFA1EmH5rnlL3uW1Wq+9gxyPU+xrTtzb71H8HHOi164TB/t7/GEfLCRw4ueoUT4eT1L02ulQHp5J8fOuE8lWy+VQDf/0//0V5EifNf3Hr3zD1cy5SMVZ8+79h5DPXaB8fqRAWbGZ2bMvP4/81GOPIc/OziFXm7yva9cXkNNxztX6elhofuL4CeT4JtfMzBSl+G9cvIg8NUXBdWWH6yfiRNGbG1uhGuIJSpXrXszshPatFue7Wae097Gzh5FXtrkvzMwKedbVavOa/+K//BXk7XXKwltuHRcmOG4b25vIGSfhNzP7wBOPIN++RZF3u80+Dh09gLy6toE8PUFxe71eD/UZdXVsb7KNtXXmkRJl04+dPYb8DSej73TZ/t69e0M11Gqc380tjlXHzUW7xflNOFF4YMyJu/zxgE6HbaSSnP98gWdGJj2J3O3yDJrfvYs1OrF/KUfJupnZo48/iHz9BiXpn/4k9/vYCNu4c+sa8kgxj9wqh58phQLPgEqZayKV5t7qunWdK/Jca9U51vGik3D3w3stHuXY1d3+jSe4d2LumeOfGYH7oxr9zl3+eECcdfXdH+qIJji2g4B9JhLM/o9qRFMc+/5d7rvZ5H32W1wjyfRdhORCiL8SkokL8d7lnSAC/3Egmbh4K/SLJyGEEEIIIYQQQggxFPTiSQghhBBCCCGEEEIMBb14EkIIIYQQQgghhBBD4Z4dT4MePRbdAZ0Q/QF9D8lk2AESifA9V71Od0UiTn+K007YoMccROm1yBeKyL2e+4KZZZKjyO02607E6Neo1cvIyThdKYkka04m6YAyM+t0WUff1RWPsI1+i56SqHOERCK87+0K5+b/+n//l6Eabl9fRJ7aRXdRuUzHz5OPPYG8tk130cwMv99tVJHrHdZkZvaBx+j82Wlx/lubzG5YrN+kZ6Tq1px3fpmZXbhI99T8rt3IL73yKvL0zDT7dOv+8MH9yAPjIr10+XKoBr+QZ6fo1xkbc74d5+spjnBNHd5D/86Hds+Huqw2OHi3b9N/9d1nXkDeM8MaiiN0H127we8fOkzH16GDe0I1NNscu0tvXkLutbiOV9foQrp5k9dHnGdmNBt2yFx0a2pzh+t61yzHquu8cV/+s28h79tPh1O1ynXerNP5ZWZWyPMcWltbC13znzIxQc/YuvNS+X1QKoX9aRvOXWVuXdZqTfcpz7ldc9zPtR16qkbHuB6SCbqVzMyOHufeePJhOruuXi8jZ4/RpxR1bfa7rDmeCZ+trToHJ51jnXHj5+0OnV29gGsol+Izqu32ogXhZ0rfueZGRsaRvT+p5RxvebdeugP3PLiLPy0Rdd4o94zodp0Xynmkyg3naMuMsMYW+0zdRZiYzXDsqq6PZj3sphJC3BtyOgkhhHivoV88CSGEEEIIIYQQQoihoBdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgK9+x4isXo4xg4x1PgnCEWhNsIAn4nnaEvKei7L3nHk9HpE4+ypq7zCg16YcdEpUl/knX57i1H1YWlU3lkr7qIJun3aLfCDpCYq7PTpTekM3AukwT9WJE+fRsbdfo5/vt//E+RE3F6TszMJmbpcHnhueeRH/3AY8gHD+1D3nqZbpSRAudusP8ocjIW9pKsrqwj72yzzYib8MJIGnnj/Cr7dO6TfI6uFDOzkRH6c9rOE1Uc4fxOjNN1VG/Qx3LlxgJrcHPTuYvbKpfjfJZGSmwj4Hc+9dTjyJEYF13fOWNqnbD7JpHlfrx4he6pQwcPI1fqrOHr3/kztpfmUTE5RY/Nsy+eD9Xw/LP0Jf3Dv/9fs88q1/GFq3f4+Qa9YpbifT77/KuhPv/B3/tl5H/x27+LvLS8hDw1RadX0vVx4eJF5EyaXptun14bM7N8nft79zydXJtb9E7VnR/NO4GmnX8repf/X7BnDx1bq6vcK90O1/32Thn59KkTyI0Gz85smuNy5Dj9TWZm9x1jDekYv/PhD5xF7rjz3ju8YnHuf+/0MzPLlri3ggG/0+7wvE93uC+yzkXYaXLuelGe581quIZ0ms+lrntWdtr8TibD89l9bFH3LM0keNaamVnMOZ06rLPjci7DNZXJca46Xd5DvsDnWqfNc9DMrNHivw2aXDOFOe4tIcT/MXI6CSHebRz8vV97u0sQ7zL0iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ+GeHU+tJj0ksTj9HZEIXTeD4C7emQTdFZEB33v1Bs6v4XQ58QTL7TinRBBhe/E4XRtmZnkncer16BlJJui2CKJ0X/QGvL7bZu73eb2ZmUXoHUkn3dgZc3vgXFXOI/O//esvIx8+Ql/Ps8++FCph1xw9M2Mzs8jFNGus7tA7tb5JH4/3ay0svIm8bxe9NGZmWxXOVzzJNs69Sk9Qu8txOHjgEHLduXT2zoYdT/kCHS7bztFy8cIbyI0mvSWVHa77hFtTEzN0SO2eHQvVMD/HsV5fvYX81FOfRB4pcZ98/3le//0X6Of6wJP0c5mZXbvO7xx/4D7kVJtj+4NXzyHff/oB5G6E1z//3MvIH//4x0I1HP9bfw/5333pS8i9Jj00t1foX/JurOqb15HPnD0b6vOrX/su8t79+5Ajbv8urizzc6eZ8y6sNedO6vfDLrNEkvO3U6HLbGyUZ9Ct24vIsTjPucDYx/zu+VCfq2sbyPv37UNutug6ikS4jivOt9Zp7CD/9V/6FeR0yjn9zGzvgf1so+6eGTGuoWyS49Bo8T4TCZ6LwSDsz+s4p17QW0POZ+lTqjQ4tlvrXHMp5/hKubO6G+XzwczMrwB/nqfTPKciA56DnZ57brmzNZoIP8d6zTJy1nmjLEIXWcu555I9esbKXY7beJ5n1qAb9iWOZEeR2zH2aXfZG0KIHyKnkxBCiPcb+sWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYaCXjwJIYQQQgghhBBCiKFwz46nhPOORGJ0XQwGHeS+c6mYmXUb9EREImFPCKEjot2ipyIao5co4XwcrQa9JmZmuRy/E0/w3Vun4+6jxxo6PX4ei9G/EQnCQxrp00PSdb6MVo/eoZxzWbW6/PzWLXppvv30D5DzY3RvmJltvEInz1aV/pX7z9yP/IPvP438c5/+KeRvPk2XTr1CN9IDZ46Farh0+RJy1I3d7t27+bnxvlMpXr93nh6SZ1+mp8jMbGaU3qdaje6qM2fOIi+trPD7U1PI4xN0Oq0t8/oLF2+GakilOZ9/5+/+HeQTB8eR/6d/8SfII2N0Hf3af0Hfzp1lrgczs/GREvL1awvIh/fsQz57ig6oXJq+lu8++wxyu8t9ceU62zcze/WlZ5F/7jNcQ7/7x19BnpudRq7VuE9ibq9OTpRCfS7cpAdq7+49yK+9xjUyM8s1tLG+jry0RAdQNBr9kdnMrLLDvTAyQpfR8irXTCzGczDhnD4p5zra2qBvzcys1eS6Dpwfbe9eju2qu6+9B7lfP/rUzyM/+fgZ1hgLe4esw/N23Hnkslnug8YOPVK5FNdc1I3L4lJ4b+07cBy5WS4jb1XYRypLB1s8yufUzg7dR1nnKeobfU1mZkHAZ0qvzfkPopy/ktubbecAiyU5Tt1+2G01cN7AmvMd+rHz7qpej32U0geQFyo8qy+uh8/WiRzP1rMjDyN/8Rv/FPkf/e0/CLUhxPsFOZ2EEO8mDv7er73dJYj3IPrFkxBCCCGEEEIIIYQYCnrxJIQQQgghhBBCCCGGgl48CSGEEEIIIYQQQoihEAmCICxjugudyhXkvkWQY+Z8TdFws80G3RfxBD0V/S79SV6fkkjnkQPn32i06LnIZrOhGlpNuo0SMbovYkm6qyIB77Nd5/e90qnrvFRmZkG7hdzv0L9SKBT4hShr+Pd/SBfOH3+ZfqVomtdffuNCqIZ4imO96lw2pVF6oWZnZ5C3y/TKNGr0uZRKdKckXU1mZrvn55AX76whX7t2FfkDD55AfuV1fr64Qk/NqRO83sxsdor39WffoKtoZorum0qNvpVElOt6do7emsMH6IB69OEHQjXcd/wQ8qvneB+XLt9CXnDeqDcu0bcSd761TKYU6jOT5/jHovzOytpt5OlRzt99p04h31nk9ZUd7oN2m3vXzGxtdQN5do7z731K3vG1sEBf033Ox3X+/BuhPjsdOniCPs+hptuLM9Oc/1SG50HF+Xf8cZlMhtf59vYWcjzONg/s3ot88TrP1tlxrqnJca5hP7dmZt0Bz53egF6gw0fpQnrgDPMHH6XjKe7OoHyG7Uf64fmOZun8yRc5tjaghyoa4QEfMY5TYBxr7/gyM+t1/XzTCxeJ89xru2dEOsVnxMD12XNntXcCmpmtrawij464546rwe9fc8+YQcB7CMKPFIs7D1izQZdVOsNnZatRRu40uQ+KY9ybAzc3t1boCDQzK2RZwzNvfh35+NmPIz++72+E2hDvLPb/1m++3SW8a5HDSQjxTkKOJvGT5sav/8ZbXqNfPAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKOjFkxBCCCGEEEIIIYQYCvG3vuSHtNt0hsSidHxUmvR3xOK5cGfOS+Hfe0Xj9IpEYz/at9Ht0jMUCVhju0b/h5mZBeyzG3U+jQ7baLV5X3Fjti69JANXg5lZ2uuvChn20eJ3CiWO0/ee/gHby9AZ8vSzzyPPT9MRY2b2xtVryIf30zPz6CMPInecw+u+1BHk59+4iDya53yvL9FTZGY26HI+o1H2MTc5iby2QW9JKkN3Si5Lj8nODh1iZmY3b9NNVMhx7KZnJ1jDoIQ8v5fuk9PHOA7TkxzrSp1OIDOz7Qbn99svnkd+8006n265mtNuH6RSXB/b6/RvmZll3KIbmWKd487JNTk5jvz0M88hN93ey+S47o8dOBiqoVmnR2ZjlU6vrnvtvc+tyRXn8HrDucvqdfp6zMxqtTJy0d3nzAzdZeUyrx9sU6jjPXGbm/Q3+fbMzNpNno0Hj3Ns8nm2eWDXPHI0w2P5+Bn6l047Z5iZ2dh4idcc24Occs61uBPopWK8745z9mVGuTeTkfCjI5bgv3V7HIcg4Lr1fqZ0ludBp82aYs7HZ2YWcedUNMb93e1z76Wdk6vnXFWDge/TPS86YbfVpDtvaxX6zwpZ1jToef8hc8I5wXpd7j0zs3ic951IOq9Un9+JuPuONvjsTCR5n9vr3KvzYydDNXzvpT9EHh/nXsgtu7r3hZoQ4l2JfE5CiLcbOZzEuxH94kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ0EvnoQQQgghhBBCCCHEULhnx1Pf+ZR6zq2RyY8ip5P0WpiZdbv0KfUD+jQiEbYZOE9Fr8fvx+LOazGgMyQw75Qy6znvSMQ5nXpuRIIOvUFBosAanAMkGaVLw8yssrWMnM7Sh9Ts0Bv12tdeRJ4aowPmq88+g3z6gdPI/p7MzB4ZKyKPjNLp879/7VvIv/qFv46czND5cuPKFeSZRx5GTuTosTIzu3rBeaFm6EYpjXJsX3udTh8/d/v370OOJ8MOmIlRrstcgfPzyIOnkF9+9RzyQ6dPIDdb9BaVt8vIr77+RqiGZ5/nv1W26YH68EceR95YP4zcqLLPrPNp3bxGf5eZWTTD8V9evIN82zm/LnAr2uOPP4qccWu2mONcvfTSS6EaYnHuv+ld08hxd/xcuvgmcq9P9027zXEI3PlhZpZK8UzYv5euo61N+rDqzslVHBlB3tjYQB4bozOq1Ql75BJuHWZSXHP5PN1kFuF97nNesftPHUU+tD/slfKOnso6z5zRXfuR+25sSxN0OCXcERJ1Q53MhB8dgfMjZTNcM4Hrs9zkMyXZ45oNBiyic1fXEddYv8caks6PZgGfIZEI5yZh9DP13FmaTIXPNT+W+Sznot/juo27Z0bb+dMGAWuKxb0TyswNdeg51GqxzfiAZ2dmivui3+P1hdIs23cuRDOzjzz408h/+sofI4+fCbvIhHg3IqeTEOLtRk4n8V5Av3gSQgghhBBCCCGEEENBL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDIV7lotn8pRRV3co6W03nCB1EH6n1W1S5BsYDanpFKW7zkVusbiTsrYo/k7EKSePBWHJdjRC8W9/wE7alS3karOBXMzw+iBKua2XLpuZ5YsUXK+tLiF/63uvI1+9toicTFOY/OkPfci1zz6/8Z3vhGqYnaOw+PUfUAadczLq//F/+WfIv/4P/wFyKs37brY4TglvvzWzhe1t9jk2gTxVpNi5UOJ6SLjlurPD+T+8f3eoz3qDYt/lW5QuX3d9HN1PkfvCjevIzSbbS2c49gsLnDszsx33nbZbU60G5fKLSzeQO22uY79vIgHXvZnZY49T9n7rOiXYn/3EJ5FfdFL0fU7cvr3FvZsvUFZ/4vixUA23ndB8a52i7vvO3o8cjVKinM5QsnzzFtvLZNwfFzCznhNQ37rD+YiaHytK89stSphnpilEHym4M2oQli5PjY+5f+F8tZwk/eGHKLifmOD3CwXuzalJnidmZtsVzs/oDPdCIsH7TMSZ43GOdTzBueg3y8iD4C5/uCHgdwIv5nbS9eII11A0wv3ddX9MoH+XZ0q0z/EfOCF5181vIsH56/e4L6IJ/lGMdIo1tZthmbxfA4lUiW3EWFOzw/VQKHIdt+q8fuDOVjOzqJO7e89+0QnsWx3Ob9OdOSu188hvrFxFPjt+PFTD81vujwGs89mZSDqJvhDvEiQTF0K8nUgkLt6r6BdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYbCPTueus6nFE/SnbG5eAt5dIJOKDOzTpttpDJ0lVQ2bvILmRJiLkMHUMScz6NLf0uLypEfMqBfJR44x0eE7+LGsnRjxJzbqOM8JDtbK6EuG2W6L37797+LvLlKX1YiRc/IWp1unL3jHLeLt+mxKVfqoRqWVs8h50bZxqkjB5Hn98wi/9Gf/DFr2MXPv//sc8gjpVKohtlxOp1u3ryG3J/mmvnUh55Efua515A/++HTyF/+c9ZgZvbxDz2OHDtOB9Ds3AzyjRv0b6VT9K8EzoWzazddOpMzu0I1LK1y/l57nXPRdF6iBx7+AK8/TwdY0OGam5oKu63Wt7nX9szRVfT61QXkrnPdZBNc5z94kz6XyceeQK63wu6b6UmukXKmjLy2Qt+Wn4tsim6j7W1+f3Q07DqanmUb62vryOkU56/doetmenIKeXyMvqVBjz6fQjHssansVJFXVljD+Cj7HJ14FHn/Ht7D6Dg9YqmwXslmZjjWgy7nI2lcM+k091rQpH+tNsghJ2Kci0g37M8rFHg+t1o8a7td3nfcOfn6PZ69cSqhLNrnM8fMLO4Go9/nl9xxbjvlHeTRMa6hQZ8PjcGA45jK00tlZpboUrAUJNlpo8bzeGxiD/L2Bp+dfbe/I5GwLy/lfIf1yhryIOC6Tbp1X6/wTNo38SDy/OgDyK/e+Gaohj3O0fXQT30e+c76beSp+ftCbQjxTkBOJyHE24mcTuL9gn7xJIQQQgghhBBCCCGGgl48CSGEEEIIIYQQQoihoBdPQgghhBBCCCGEEGIo3LPjqdWh2ySTpXfEMvQYddr0e5iZJVP0hvScb6kwTk/J+sod5LzzLUV6dF+0enTlZDP085iZtdr0jLSNjpDAeUiiafYZjdABUq26+xxwnMzMvviH30a+dO468onjh5BX1+l8GnFeqVSBY18y1jTRoCPGzCzboavk8iJdRlPOlxMr0F1z8fJV5MZtuqxmds0hTxfDLpTlTa6RU8d43zdv0fnzH770p8i75+kyunCRDpGzbhzNzKKDhv8XpFdevoA8iNBlk0xy3JpNro9XLtJ10+vxczOzbJrOrkceuB85nqaXZqdSRv7gg2eRX79whTX16a0xM7t9g2185Ak6mTY3ucYao/TzfPkrX0X+6EefQr5+k2t4rBT2LTXdXhrJcU0tL9NLc+Omm8/Tp5BnZulfKm9XQn3GY/QAtducv1HnHpsYm/iRn1cq9DWNjnCc6vXwfC/c5rl1/Bj9aZ/7/CeRHzi5D9kda7bLrfuddTrdzMwswvssjHDNBVGu62aD99WI0LeUjvPRkHZn0MDCvqUdN1bRgGdjNMZzKhHjGdHrV93nPHu7xvPdzCwwXjPosY12h4OZc+das+HchTEn0HJ+pX4v7DKr1ujwinV4nyMT9Ku1qpy/fIZztTPgmRKPONmVmUU6PNdSSbZRXqM3amyMXqm48whWdngeZN1ePTP/cKiGwHnDXrj2CvLS+VXk+87+VKgNIYQQ4v2GnE7i/Yp+8SSEEEIIIYQQQgghhoJePAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKNyz46nv3BnlzTLyqHOlxJ2vw8zMknR6tLbpxqg1mGnKMNveoCNobIouo8o6vUXr1XAN2QydIFnnbIlG6E8atOvI3hnSddqRp7/zUqjPySLdVrU9dNVYjNNw4jSdMH/6Z88gv/iDV5F/6W/9Imt4+tlQDXsPsc3jRw8jX1y4iZx27yTPnjiBvLTJuTqzjx6ac1foazIzO3LkKHJlcwP55AnWtLbKPg7s24t8+do15GNHSqE+2wPeRzJGt8nBQ3QTzc7QVbW2TffJnTtcY/cd4z0l82zfzOzVN+lkKrfoiYm3nSvlxdeQzz76GPLUHF1oiYB+HjOzuRLX2Mgo13XXKXqiW9usKUEn0MXzF5E3trkXS2e5j8zMRpznq1aml2bgfGiVCp1NC3fofOo4z9z9p7kmzczuOG/Ug2ePIV++Sv9SNsv7LBSY2x1u8ESCAxdxjjgzs5/+6Y8hnznDOk/v24WcGmGfXXduRZ03bP9eft/MrNtkndEsx77rHG+xBM+cXo9eoZjTClXLPAfzpVAJFk/ynGs6/1WyS+dTy3mn4kk6+bp9PgFiyfDeikR5TTTJ+UiHtgbP73Se49RpcpyyOdZUq4efKYk+O0mOjyF3A45tZMCxb/W5rpNu7/V6YbdVM+A6TGbZ53jSteHcdAnn6Fre4d4ccfeZcfvEzKxa41gltthmoqn/ryXemVz7whff7hKEEO9h5HAS4u7ovwyFEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDIV7djy1a3RElKbpwulQU2P9IOzjGHTokYgG9G0knOsolaZfY3uHnpHK2i3k+ja9FGNTpVANgXNjRAesqVrlfUY79JJcv76K/P1XLiO/9iqzmdnM7DhyJsr7nBilG+U//Ml3kR89exJ5eZM+rZu36VPaNcu5MTM7NE8HU63B+447F0o/xneSr77yOvKReXpmRkbpGNmz1y0IM5saZ93fu0xHU6nINXP2FO87naJ45vQpunOmxulrMTNLOkfLrZucv51KGfniDX5+Y5FOp/kZ3ud3Xz6PvHuOzigzs/FCHvnL3/4a8v/lv/0vkbs9ulNGndsmOz2NXGlzjZqZZbP8zuvO0fTwgw8i//krryIfOrgP+YUXnkPeu2cPciJJd5qZWbPKujad0y2d4neSCfp5Os6Ftb1Fr1TiCJ1gZmZdt197ztnTaPEMSbl17h0/E2N0YzlVku3dMxmq4XOf+Sj7iLOPvJubRI7+nMGAnbTd4bpVCR/bQZuOrqhbQznn6OlTO2TRKGscuAvSKbqUgmjYbdVybqpE0nuB6DLqt+n0iifoJatt0Ts3UgqP9a2rC8i793FdLi2tIM/tPYS8cJX7IlcsIQ+chypS5/oxM8uVxl3mGdCq8axttThXgXM+RWN8RvUH3nZolnKOpniE81Vt1ZB7fa65VIJtlnJufgOeWW3nhDMzy5f43Ko3mYul8JkgxE8COZyEEMNEDich/mroF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhsI9O56KRfobWjX6PFpGSVA6GvZSZOLsLl6kk6fTppekWd1BHimVkIMB+5zbT+9Qv7UWqiHtPCHdNfqRvv0XzyMvb3WR2x06PpaW+f3d8/OhPiem6PzYqW4irzTplXrQuY3MDeWpY/SUrG7QfXPqaNh98/z5c8if/NhTyG++QTfV0SN7kSv76YiaHB1BvvTmbeRmnD4XM7N+i76Vk/cdZJsjXA8/+AH9Sa0O56LVpjulWDgT6nNxlXXtn6dn6uFHP4i8tsW52NwqIxeKdJ906xz7fj183y9duor8mU9+CPn/9cXfQT5+nPPbqbOGhx8+jfylr34j1OfMFH05B/ZzPl9+heu8Wed9Z5N0+IyN0ytVq3EfXL1yJVRD3zncymW6bdIZnilZ53wqjZWQ985xDcbj4ePr/jNn2cYo56va5GZKpTlfc9N0eO2an0GedW6z5597JVRDKkrfzvgIHUC1Cs+lebeXuiNco70u//9AzAvZzKzepsMnmaSbqrVDn1LKzWe7xfM8E2Ufpd0HkCt17j0zs9II5+/2DfrRis5NNlJwjqAu5yYd4fxWyvSvmZnt2b8fudGn42v3kWPI0R7X+YE9XFNl5/jKl1hzv8fzxMysF3C+K26sey2eWynn+Oq7sXRDb9FeeKwjbu/UqmXmJdaQnqMfrx1nTbGALrxBl+MwNclxMjNbX+NYJBKcr4MPhc9jIf6yyNckhHg7kc9JiB8f+sWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYaCXjwJIYQQQgghhBBCiKFwz46ndpBBbrTLyLl4DDk7QjeKmVl17RZyLEf/SiFHt0nWOaCaO+wznS8h377F9uf20nNjZra9Sb/Sb//2V9nGAn08yQxruHmHTqegR6fI0WP0d5iZba13kFc36N/47M/Tt/SVL7GmKee2efUCa4x06S05c/ZsqIb7jh5Bvn6JTp70KJ0hN24sIu+apfvmxh1+Xh3QQ9Iv857NzFpZ9tFo0ely9tR9yIcqvK+cc6OUSvTYbNfoJTEzm9/FsXvmtZeRf//r30XuNDifa6v08eQy3Adzbm6OHaZzxsxs3nm/5nbNIp84THdNtFNG/pm/9reRr965g7yxUwv1+eFpesWWlrg3xgtc11c6C8gjIxzbZILimTtLG8iHDobvO+/290vb9GGVSqyh6MbWBlwfm5Uycq7grjezXp/r7uqFN5ELzlW3e4bj9IEnHkDO5jkOiRhrOviFz4VqGDjfXTZH91GuNIe8Veb8Zd04pEfooYrU6c4yM9u1i2fdzirPufwUz+NFd46N59hHbs+DyN0290U2CHuHtjbYZ2mU3qCOcxcFfbqRks6flxwtsc8Y15OZWdt534ppXlPepFcumaZPa9Difacy/H8xjW1/znHNmpndevV7yKceehQ57nyHsThrDPoctyDFucyUOI5mZrE+nU1vXr2BfOLMceRamXsvneWzNl7kODYH3CeZVNhdN7uHjr7UFvuIp8J1C+GRw0kI8XYih5MQPzn0iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ0EvnoQQQgghhBBCCCHEULhnuXg0oFw2FaGMdK1B+WihS9mpmdnIKKWpQYeS3GZ7nZ8HLC+aoFy60aFMemxiHPm1Fy6GanjptfPId25T1Nzqsc9cju/mSkWKYR86+zhrziRCfVadRDvTokT3GSe43rWfoua6k6qfdQLr/oBjH3TDku2JGY79tavXkUcjlNVeWLmGHO1TLl7dolx4pkRJ81ZAYa6Z2f45Co5XKhRUn7/EPo/u5fXfe4VzdyJ7ADmRCC/nKSfZ/uiTFP+2nQM9l+M4VOo7yPE0RdHHdu9Cfu6VC6Eaak3unXiSa+jRRylyvnjhMvI//h//J+SxUa7zJx85G+rzq1/5C+TJ3ZSg31hdQM458fuFNymwD/pcY4kUx6lYDEuXn3uBIveBsY20289HjpxEPnfpHPKG+8MAo6MURZuZba5RcDw1WUKeHp9E3ruX4vf1dc73w3s41rkU11hhdDpUQ7nG+bY0ZeHV5ZvI4078bSknF4/Qyl2L8PwwM9uoUFBeyPA70QEX+uwcx6HR45mRinFvBl3O1WY1XMPI7FHkRJPzlRzluVVdegO5n+Aa7FWryO3+dqjPwgj339rSJeSp3ezT7/dUsYQcj/K5FonzPG9tclzMzI6dcmdKm3MRuP+/k42xz0SWc7FT5x80iPbCf7Ci1eRYHD59Gnl1i/MzVuQa29zgfbS2+AcO9h/jXK5t8g9imJnFs9zPrao7KyOSi4swkokLId5OJBMX4u1Dv3gSQgghhBBCCCGEEENBL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRTu2fHU8p6iIt0m6doV5F437KXYGtABUSoVkGtt+jXixj5T2Rjy5tIKcrtOT8n3vvdKqIbVdTpgVrdZ037nwnntVXpIPvqRJ5CrHfpcvvv0d0J9Tk3Qj/TAfaeQM0n6cp75wfO8/iE6gP7gj76KXN92Po/ZiVANH3r0IeRag2M9P0t3UcL5VoqTs8ivfJX3+Quf/wzyiWOHQjVsOVdVss75P3+eTp+rV1nDow8/gHxwD9fg0nrYAVPM0zPSHHC+8jH6dC6/yfmemKHjZ2N5EfmFl7juf/UXPhGqITrgulyr0JeSH6GrqNPnuj988ARyu8f5PnlkX6jPGzeWkEfHOdZxKpzMXI39gOsjVyoh70pwL1667Bs0m5nlmlm6Q5/a9jYdQM1JrtuxEbeOBxyXwYCOODOzSJTemf0H9iBnMlznmSLn/8wJrtu5vfx+ItZDbnXCPrXJKfrUeq7u2QN0WVmcY9ltcB0nsvSUjed4D2Zm+SLHanOJY92ocM1MHeJ9TgV0trWarHnJOYF2zdGNZWYWbXFdx3PcO9vrdLQFSa7JrDsHd9pl5FQ+fK5tLtILNzPLPutORRVjFzZwNa9V+HwYnaJ/KRhw/s3MEiNc59bmGmxWymxjjHsr4fbSSI7nQTQIr/P0gDdWXed9jGf5nUyCeTDGNdpK8z8Fgh6vbzTpDDMzy7ixzBZ51vq9KIQQQgwbOZyEeOeiXzwJIYQQQgghhBBCiKGgF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAr37HiKGr0UsRYdE0nnqcklSqE20gl6IpxGxJIxeqGSzjNTX1lHvnFtGfnSzTXkao3fNzPLZekVWVp8DfnCpevIh/fOIV+7QcdPv9VEnp/fG+pz5RZdNo88fAT5tXP0lNy8yvsYRF5H/uiTDyNnknQhJaN0hpiZXbh6GTk/Qh/H1Vt0wjz+ED00V6+yxpEi57s74Fhv7NRCNSzc5HyNluiuefjRR1hjjp8vLtxAfvq7z7DPTni+D56go+dnP/wU8s0bt5F/+hNnkRMpikz+6C/oiLr/BP0ul89dCtVw+xbXVN0t/Cvr9IxtrNDPdOYBznenyRpefz3cZ7PMNZcY597aNUkXztZGGTkScK/OjXIuzq1xLxYK4aNkeZF7ZfcB7o37Du1D3refn/+zL/4O8pGjvP7aVY6rmdnB3Zzv4kgR+dHH6Vd74IzzZzW4n9NxzlXNzV0QCd/3+Lhz9ER5TaNJn1IsxjYTOdZcbVZd+3TGmZn1evTpzO4/gLyxzL3Ta7PP1iDBmjuscXqSrqNEIuz8sWaHfW5yjaSzPKfiTa778hZ9WcV5zmXgxsHMbHLffchb2zynknH+v5V8hmPbTPLz8Sme990EfVop58L6YWGsKxLLI/cSXFPVrTL7aNDP1I1wbK9fWgh1GUnyms4KfYdnP/QB5G3n9BvN8r5aEZ5zazu8p3ycZ46ZWafNGvJFnhG1HT5TxPuTa1/44ttdghDiPYQcTkK8e9EvnoQQQgghhBBCCCHEUNCLJyGEEEIIIYQQQggxFPTiSQghhBBCCCGEEEIMhXt2PMWdy6TRoc/D2nQ+9UZLoTa6Rg9Jp0fvxNXLdMLs2j2N/M1vv4j8zPNvsANXY8l5jMzMri/RhbGysYX8hc98GPnWFu9r0/k5VkLeqSuhPgsz9On81C/+18if+8SnkB9//Axy0/lWvv2dZ5F3Oa/UXRRP1nPzdWR+N3I+TcfLjRs3ke87cRy50XJz2R8gr9/mXJqZpdJ0vGxsbCAn6/w8sZeulLm9vM+JOfqVdlboxjIzO3RkHrmYoNvm8EF+HsuUkF9/g26skVGuqcVFupQuXqQzzMwsk+N3Rgt09BTzHPv1Accym+K6LuYmkL/5re+F+uwb27hwjfMZcx6ZpJt/7/R5/U16pI4dOIS8uMF9ZWZ29OQx5CnnBStvl5G/fP4Cci7P65fXt5Fndu0K9fm5n/kY8ugMx/qk80RlM3TdFLIZ5IHz0KXzXPfdnrvAwvuv3ekh5wr0DJk5X9KAPp2e+zwW4z4xM+sHrKs14P9TyDp3kbVYUybO+e9G+f3ArZdmI+z8SaQ5dkmjs8nirLvp1mhqlJ+36zyzUml6yszMgh5dRCk3lNEMa+q6Z07C+bdqzhOXdnMXSYRrqNV5TSHHuUjH6E9q1bmO0ynWGLR43o/v4V4zM1tfostq/rGP8IIoz5xIUEZudrlIuzWexekMv99uc67MzOIJzs/ta3weZ8bCvkPx3kdOJyHEXxX5m4R4b6NfPAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKOjFkxBCCCGEEEIIIYQYCvfseOpH6QDJ5+i6SKbpymm1a+E2BvRnZJN0uBzeTxfGl77yTeQ7d+jw2XeADomtnQry/EzYAfP6yxeRd6r8TnPAISnv0H2x98AB5IceOo38/edGQ31ev3ML+Vd+4eeRCxmOw5Xb9PHM76bL6MkPPoE8WaLHJpYKT2ujTBfRxibdKMkB/SpBj228+hodP7UyPSSTBznWd9bYn5nZYyeOIF+8dgd51PlTWg06YlqB9zPRWzM2FnbffP3b30feXqfTa9HN75F9B5H/0a/9NeTXLi4gP33hHPJmmeNqZvbxhzlfIwn6Vd5cuMHPnR/tzsoScjHL+5zc7fw9Fp6fTqTMmj74KPKVG1yj7Qb9LZNjU8gHj9AR9rN//adDNfzpH/85cq9JL9CJ43TX1J1P55En9yEfP8Tr98zRnWZmtt85vXLOr5NO0xuWTvHzpNs7gTk/j/PvxFM8F83MEml6oyxoIsbifN8fce//Ox322XV+tqDLGszM0jHWvXF7Abmf3kF+eZnn4OdO80za2aTTZ2y6gNxuhc/3eIKuolyc2buqLMmaO33u71TceYga4b0VRJ17ythnusH77qZ5Pvd6XHMx99xqJuk6KqXDTq90gs6uRptnSibLzxNJOqAqO5zPkTzPc9vk+WBmdt/99LyVt9x8zR1G7vT57F27RhfdqNvf1nZrrsh9YxZ+RpTmue4zGe8yE+815HMSQvxlkMNJiPc3+sWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYaCXjwJIYQQQgghhBBCiKFwz46nWJx+llqV76wybX4ez9MJYmbW69CHUt0qI6+t0+G0fz89FgHVGLZdofOjska3xo0u3SpmZovVbeT/5f/x3yH/4LXLyKWxSeROq478+1/5CvIXPvfZUJ9ze+ngWVqjd+Tq1VeRZ/fQ6ZSOcpqyaXpM1lfW+Xku7Dpq9OkyuXF7FTnpvCNRo8sk4twpR5zTaWunjFyIh903C851FXV+nRY1JXb1zTfYZoH3dfwA10e7SY+Jmdmv/W26h8pljn2nT0dMdoJekqd/8CbyG9cWkKf27kHOjYTdN7Eux77S57pMJuhGKY2VmCfoMlq6eRt57/RMqM+1Ze6lh06cQP7Gd3+AfOYw3WWRPL1jSecleunl15EvXQ17aA7v3Yfc79MbM76HXpn/5iMPIe/dzc/TKTrAGnXOpZnZeJ5jOTJCN03PeYRiaTp8zOgVatZ5XoyUeB7UavzczKzX4TqMZ7h3Bh3utSDGmhIuT02WeH3gXElmNujRhxaJcs1d3rqAXI/zHBv0ufkmpjn2Oxvcu5YOn++DLuuu1MrIuTz3b6bA/R/vco3Vtunfa3W5fszMchnOX875z25eeRn56CHvqnIOKOd8KhR4xizfpuvOzCxW4FhlkpyLzS4dbSMR1pyOcs0tlXmGzEzQp2ZmtrhKd117ifexsc75PnnqM8jxLMchwhKs41RW8VT4/1EFceeBcl65apvrfNJppIQQQry3kdNJCPGfol88CSGEEEIIIYQQQoihoBdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgK9+x4ymdG3D/wnVUwoH8lEg/7djbu0E1z/vJN5J2lTeSRDPvYM0UvRbdJT8nE9Bjy8grbMzP7m5/7FPK5y3eQz95/kp+/fB65XKPL6u/9jb+GvLRWDvW5scJ/e/SJB5H37aOjx6msrOq8UiOjnItcnmPfH4Q9Q50qvSMjWTqYanXO14GD9FJNTU8jl3foKYrG6WtptuiQMjMbSdOfVO2zzzdfpTfo5m26UR76EMftP/7508iReNh9c+XmMnIiz2vWbiwiZwr0rzxwmuuh1qP85ANHDiF//7lXQjUcPkkP1PlX6F+ZnCghz8zQI3TtTXrHIgH3xavn2J6Z2eg418grb9CX9ciD9yM/9/xLyD/92U8g31zgXk1n6E7aNc6azcwe+SD7+NhTdDh1nfsqm+LYZxIUz7TaXMMTE/tDfd5ZZJ3xNM+E0ZES8s0bV5Hnd9OnVZqYR647p1OjwZrMwk6munMfdRp0F+USdED1E9yb3R73f9ztNTOzRpv7MVUY5ee3WMNimWfj1hT3WipDf14qSwfY7er1UA17cvuQEwH7HPToBBpUedK1ze1fNy7TY+4ZZGZttybWl3kfB0+cRa7W6bJKZtlmJsYaIq7m0iTXg5lZuVpGXqnwO33nIotMsY+RHJ9rMwV6yvpJPjfNzNYXOHaj448iT2W4ju/cfg3Z+xJb7mye3c1zrVbZCtewyjVQyHK/pmPh/wYQ726ufeGLb3cJQoh3EHI4CSH+MugXT0IIIYQQQgghhBBiKOjFkxBCCCGEEEIIIYQYCnrxJIQQQgghhBBCCCGGwj07nuJRvqOq9SmJaGzeQB706bkwM7twnj6l1157E7nZoD8piLDP3bP0yIyOlthnlLczNUEvkZnZpct0uqxt0NnS7tC/srNZRn7wMXprWi16au4s0xlkZhb06Wip7LCPmekJ5L0zdAI988KzyGMF+nVubq8gt7t0xJiZRZP0QM3MMRcKdOFcdl6hmPu8Um4gDxKcq42dsBPkhVfoGfn8z34e+UNPPYW8WeE4Nd2aWtukO+XvfvqzoT5vLq2xhnN0Hd1aowNq/QXOX3Ob62Nyz27kWp1rds/e8Jr7iz9/HvnU2cPI/QZ9OptV+nr27qNXZuelc8gf+fgjoT7fvHgN+fTsUeSJcTpgPvHBx5Ffv8C9efb+U8gnztAB88FHHgjVMDNDf063WUbevf8scrnMcYgG9PdEehzrQp5uHDOzA0fO8B86PKdu3uYZND6V4/UDeqZ2btGflZnkXh2f3BeqoTOgPyntHD5Zd+q22nTj9Pu8z1SO49hphc/WXJ730W1wb8yPcw1tJTaQb0fostvb4Dl3rvlHyEdG6QAzM2u4dRx3zrV0jM6maJznVLRfRo5U2J5ld4X6zGQ5FhMze5FXbtC5Nj5/DHl7i+dYvMCaOgOe79ahI8rMrNXkOTU5eQT5m9XfQv7Z3f8D8sbyy+wixfN8eSX8/4dO7voocnqE+7nbpV9pxHjeBwN+Ho9wbrpNrp/2TtgzVXTrcmyUnqhuis8p8e5DTich3r/I3ySE+HGjXzwJIYQQQgghhBBCiKGgF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAp68SSEEEIIIYQQQgghhsI9y8VbAXMkSulqOj+F/O/+w1dDbTQ2KE29s8J838H9yGtONryyRBF0Z8Citqs15PIWpa9m4fuIZlJss0Z5bHKWUu3ldUpXS8Uk8oH5faE+5x+kdLXd4dh16hTcfv9730Ge2EvZ+PMvvYqcy1Es3O+zPTOzbpui317Aa24uU8LdcfN7/mXKpp99/QXkscIo8ic+/IFQDYvXFpB/+7f/P8jHTj6E/E/+b/9n5NUWJe2/+6/LyPECx9nM7PmX/gT5me9T5LvXje2v/N1fRf6D//D7yP/dpz+G/IM3riAfnKPk18xs0OXYr61yDd1/mjWsfO9F5Odeo5T99IOPIjc2yqE+x6coOc+5dd7Y5ny3jYLrX/2bP4189uR9bH+WMuJEjxJvM7ONTfaxa+9x1lBf5xfi3JzRNtdopsj5HQzCfXYi3L/9tSXkqWmKvhfXeP3BvdzP0YDv5iMJ7rVB42aohs022xh1UvWuUR4fdJMuc330ktxbaQvvb3N1tt0ffyilKILO93j070pQyn5l6TnkepLrJ2HhvRaN8A8KJAtcg806z++tHf5BitdbZeRjBQrs2xtcT2ZmU+MzyLUypfqlWYq+Ky/+KfLYo/wDB6kB10M0xnH8Tp3ngZnZmclfQl7a+jLyR448iLy29QPkWxGu0bkN/gGDXXk+g8zMWoMyct5KyJ0a/yjCDffcmp3nOVXZZg0pd17kxvkHEczMuhWO9do2a2q1KeofLXE+hRBCvHOQTFwIMWz0iychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ+GeHU/9Thd5dYu+jWe+cR45n6AjyMysFcsjJ4zum80a3SXFyQnkP/nSV5B/8Zd+HvnaS+f4+c99PFTDH32F7qnpcXpI8vkScqW2iTw6QlfKWDGN3GjQW2VmtrJE19SxkweRFy7Tn3T8NF04C7fpwhmfnUTOONXN916gx8jMrDBaQn7o7P3IX/vO08hH9+9Ffv7y68i/9LN0+lfF1QAAKGFJREFUAJU36XdJOSeMmdmHP/hB5G6K8//9Z59nH7/895BrTTqeIs7Hkmm1Qn1ubdJtcuQ0nS+DNr1CkaCDHE3R6bO2wfWws8583nnGzMweOkq3ycTuXcgvv3YJecm5UkbG9yGf2Mv5f+1S2GUWBPQIjc8491SMY/cLP8W9cmzPLHKnxfYGAR0//Uj4KBm479Q36PhJ5OiAmRzjuCzWF5Gj7QTbT4bfm6dSbLNZ5H1GivTSzLu6280Sc4nng23fRuy3uP/NzKZKXEORHB1N0QbrHqRYQzxK55N1y4ibW8xmZqUcz9ZWk+t6fJJ9ZI01bXXoW3rtNvf75w5yvxezHGczs35AT9hWhW1eal5AbvLIsI84j9DKFg+2sV3hM2Vrk/M5VuLeuH6bZ+GlFJ9jT9W5RjerdCNdidPHlGvybDYzy869we+8sop8cPffQG4s0wt2sF1GXtrmeT+VCvu0Jqb2IZedy6xnnP89kzxrM3musZUlnq0rFZ4p+/Nhd11shHsj2af3bbLALN75XPvCF9/uEoQQQ0IOJyHE241+8SSEEEIIIYQQQgghhoJePAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKESCIAje+jKz66/+OfLWDh0Q3/o+/Up156kxM0sk6KpY36FPY/HKFeS5Y0eR+206oLJROiRefZ1ekiPH6PMxM7u9TBfGeJ5ulMzkFHLTuYuScb6ryxdLyOkB/S5mZtFR3veJA3v4eZQ+rK2tNvKS8wpdvkJHyMYax7G24+QpZnbfyRPIX/rq15A/8NhjyDdWbiFPTHBcshn6XA7up8do+RZdOGZm3YBjd3SO3pBWl0vxq999FrndpsPp9m06gybn6HcxMzt44BjbaHEN1dp0vnzqY0/w8zLH/vYy3WazE3TlXL95J1TD9PQMct65iSIJuov+4uu87yceo49rssA1mx0Je4ayWbqpHr6f83/y2H7kaIxtJHJ0wKytcE3tmirx+xnWZGa2vUrHT955YvIFeoICo4+p3eY+KDqvzdId+n3MzK7cpGPtob1zyNUo9873lunweWzsl5B7Ea6PHbc353ZxX5iZbW0759b1FxEnTz+M3OnTZVQY4zj1mtzfvQ59PWZmFmWdkSbr/LOtF5BTPbqNPnmcvrw/Pvc7bK/NvfW5058IlfBm9RnXBz1h8xN02+UiPEM6PZ6DjSrvIT8Wdh1Vt7g/E06P9foG/XlnZ3nObVylXy1zjM+U0QnOxWuX/ixUw6E45zOT34fcW+eazB3mODR3eN8t5xVsDzi3Zmajo/Qfbi5zr0WyY8hzu/ks3Np053Oriph3fsWNW+FnSnmDbey77yTyoMLzeuYQz1bxzmOwcvitLxJCvCuQ00kI8ZPkxq//xlteo188CSGEEEIIIYQQQoihoBdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgK8Xu9cHzXbuTl7VeQ+y36eRaXN0JtVCv0q/Scb2e/czpNjFDYcfUyXRnNRA05n6cDZBAN3960cxX1nD9jNMPv9IoF5Izz8WQm6NJJdXm9mVkwoMOj3aXbZKdKJ8zVKwvIC3dWkRtduk9yY+xzEA1ru5Z36Cb63Cc/jLyyyRrmxuk2KWXpMuokWcP6Bh0gM4fnQzXMJ+kR+vf/8RvI6TF6gn7p538OeWGR62d7m16SdodOETOzcxf4nd/4h38b+bd//0vIW4scp0Mn9yGvOn9PEOV66HXoKTIzW1mhV2xrk+u+6ub/Ex+g06mf4LilMynk6Rm6dMzMju6m22h+bhdy17i3sgHnM9LjfcxMcW/dunkV+cDJB0I1RFIj/IcE66416EPLllhTpcK9efMb/zvy6FzYr3R0mvs3X+LYdep0mOTS9NTEI5z/WJv3cPQQXWari9dDNcwW6a5qP/Agcq/M+c4VeB7E2vQv1Xv8fGxyX6jP5cWLyBt9+q/mZun8aW+xjy99/58jf/jYL7L9Ba7hO22Ok5nZqfFPIg8aZeTyNs+ldpTnd8z5mZoDrsFYg/vGzCxZ4Bp46eofImeS7OMH13kePHKaZ4x1uSZ3rnGuRhuPhGpI7OL+i3TKyP2Cc7BV6c+7cZN97J/leR5EeRabmS0v8fnabnGvTGf5zNlYpXsu0ufn12+xpn19TkZ+gs4nM7N0lnvttddeQn7kxIdC3xFCCDEc5HQSQrzT0S+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgyFe3Y8ff0bTyNfvnTLZTpFajt0iJiZZYp0+BTzzKMF+pL+7Zf+AvnDD5xF/s4LryJ/6sOPIt9Zor/FzOz0Wbpotja3kUdG6NcoO29QMUf3RYxqHJueowvJzKzX4/u9P/uLryJ7P8donm2Ud+jzuP8M76HmnDGlJL1DZmZZN9bNBu9r3346vNZW1pE3qqzh5KljyOkk5+761UuhGmJT9LEcPn4AeWuLff7ul/7Y1bgXeffMNHKhGHb+7D9Cp8+/+Fe/yzam2carFy4gf+QjZ5F//9IC8kN/7dPItS3OhZlZPMZt9ualHyB/6IP0xlSrdOEcODGD3Heum9IInUJmZuNTXMcjziO0skknV37XJHKl2UfOZph7AdfYoBd+hz3iXFT1Cl1lkST9ScEWN1OrTIfX+AHOVW0j7PzZdeQ48ref4XxO7SrxC3WuuU2n6Coln0CuljeR82mOi5lZd8Czr1mhTyc/zXX8zJ/+CfIxd8Yk5njfS/WdUJ+JFD1At1t0+hyuHUF+8Rb384niw8g3rnLcptN0RCVbPE/MzG7W6E+azPE7ayv0giVSGeRMmvukMMfzIXKX/01y8evfQk45z19ynOfaibk9yIuX3flfco6+HmuMJJjNzBpdrnMLIoixNj1TL72xgJwrsM/LV1nTvmNhb2A6wvN7EOfgbG9xnfY7bDM+VkKeynP/X/4+n/d77j8bqmFrlXtnbY19/MHyv0P+P/3K/xBqQwghxF8NOZ2EEO829IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgwFvXgSQgghhBBCCCGEEEPhnh1Pr7zwOvLtxWXkrnO8lBv1UBveZbG4Ts/MLef42buPfo7XL15B/vmf+SRys01HTDIZdt9E4/Tn7DuwC/ngQbpSIq/QjZMpMs9O02Ny6dJiuE/njTl17CTyuQtvIPetg3z8IP0s19+4jDw6V0Iu5pjNzCqNMvKdFfp2jhZOIHd7rMH6nN//+If0L+2am0XO5sNjn4ry3154kWsqlU8j/zd//1eQf/8rdGN579jsTNjx9MiDZ5CLY/RnLW7TdfN3fvGnkUfcDvlbv/Q55BfOvYns17iZWa1WRv7EEw8iP/PMi8if/TzX9fgY2xw/yjX7oQe5PszMesaxjiS57o+fPIpcrTtPmPNSrW/R37L7MNdLtcq9a2Y2MkIfzs4ma5oo0BO1tEQv0Z69+5E7FdZYzNCdZGaW6HLdjiaZE1GeS80t7ufS+P3IuazzLWXo79lcZjYzqzsnW98521I1uqs+8nM/h3zrxjnkao9zkXZOODOzzTadTLub9MCd67+GXFvgoTQ4Sd/W3j0HkbeWea5VrrwcqqG07xRrWuV87j3EM2J7jXMRxHjGrF/jOTc2y7kwM5s9y73Q2GEbFbcuB3Wu4/k5nt+1wLnQ3qQn8L4nPhKqYWeDY5MIuNf6I/QnTbvtGnH//2e0QSdUvOVEgmaWH6f3LR+ja6yyzbG9cWsJ+ewU5783P8cOotxbK2sroRqyce7vqQmeU+s3uM7FO5+3csZc+8IXf0KVCPH+Rv4mIcR7Ef3iSQghhBBCCCGEEEIMBb14EkIIIYQQQgghhBBDQS+ehBBCCCGEEEIIIcRQuGfHUzqXQ47G6ePZ2qY7o91qhdpYcT6dQ5POfTJOF8Yf/SmdPk8+TDdOt0+XRibB29lzcF+ohm6HTpZYgfnSG3RZsAezY8foPrl+5Sbbb+2E+tzcarDOWIo1ROi6SWU41oG7z9JkCfnmdfqajt/H75uZVXY4H4koa2h36BFZdf6tRx86i7znwLRrn/e4vcnvm5ndcZ6QEecuijoH1P/6r36XDWQ4vxMlXr+6tBbqM/Ig7yvRp9vkQw/dh/yl//AVdjlKB8zcCGteXqVDJpXjuJqZBV36Uvou/8Iv0un0yH30L6Vz9M7M7aL7qFQKu62uXac/a2byLPLlC68gZ52XpjhaQh4fdy6cMse6usg1aGZ2YY1r4MipeeRmje+9Z8fpAKqsci8lE3QbRRJhx1PbuahGRifYZ4WfW8AaelnW3GxzXBI5nlnZfNg7tLbINo66M6Nd5Zpc3+B9tptco3U31lMH94b6XLi9iVyJ0+n06N6PI3/j9e8h75rgut3s0OH3RvUZ5O1a2On1qT7nL15k3inTXdRy95mb5TlYb9HpZR0+H8zMOnXujX2HKVD62nW6qE7N0uHVbHANjcfZ3svuuba/5taPme3U6BGLBJzPbMA1kk/SjRQLuK5jM3uQ15euhfpMurOvvX4dubT7GPJEkevjVoNeqvUW53dfms6nQizsLrzZ4X2Vq2V+Z59/eop3O947I+eTED8e5HQSQrwf0C+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgwFvXgSQgghhBBCCCGEEEPhnuXit29QLhqhk9smRym0vlFvhtool6vMo0Xkq8+8gHzyEEWxo/kR5M3tMnKjTsH10SOUMJuZxa2P3GlQur2+6UW/rHlzjbLiQcAhLNfYvplZKu/Gxo1lq84aUimK268tLCCfve8M8sYaxbEvv3whVMOZ05TNXrtKYe3NG+wjW6BEe+HSVeTP/synkL/+9IvIc3sokjYzW16lXD7epZy2UqF8+OzZk8jnXz+HvFamfHhmjsJzM7N2k/LgqQmuoXUnfo/kKO0tunG4vEjRc8FJ928t3AjVMF6iFPlnPv8k8mc+81HkWK+MXHLC8ltrlBmvLi+F+pyb5955/SXOT8bd5/QpJ+5vcS6CAeeq26FcevLY6VAN6Wknkx/lurYka7AIJctrd7hPdp2kCL5YDO/vP/v3X0au1Ll/Z+Z5H1sVro9Kg2NZjHG/v3lxge1NhsXuhRLX4foditdrbYrfLc7ra3HKx/OTPCdf/PqzoT77J/mdUnYcea3BP4Iw/2Ae+esr32dJ41z3neJu5GyT+8jMrB+jmDsa5X63Ac/KzRrnd9xOISdcn9EE5eNmZptbbKPc5X2s36IkvTVK8Xsn6uTyEa7J+44cQG6slUM1xFr8t/V1rvvoLB+WS9U6cibF+xqd5vXJPOfSzGxlcQG51+DzdhBcQQ4i7rk0wWfGVJvnWKK7D/lf/ptvh2r46C9wz5cz3GvJAveOEEKIHyKZuBDi/Yh+8SSEEEIIIYQQQgghhoJePAkhhBBCCCGEEEKIoaAXT0IIIYQQQgghhBBiKESCIAju5cL/7z//TeSVLboylm/Ra2ExemjMzL773BvIO9v0yDz0yAPIkxn6Ni4u0FPS79EJc//pE8iZAt0oZmYx53i67zQ9MQvXbiMnMnShrFbKyC988xnkVDr8Li+WTLhrvB/FuU+2ObbmfFqjWdY0OUeH0Ksvnw/VMDkzi1zeoH+l0eZ8ZUc4dgfmZpCXljjfFecEso4r2szqLbpN8kX2EXEOl12zdN98+xvfRJ6Z38Ma9+0L9Tk3ST/KwUO8j9fPXUJOJOkhqlR5X5dv3ELe2KTz6cS+sHfoyBG6an7llz+OPDU6htxPcH28+SL9TNEEXTrFsbBvJzdCR8/kzC5kv/cyBa6pjHGu1ssD5IRb5ytX6QAzM9t9/Cxyr0mX2Z2b9IwdPjiH3HcLf8TN5aWFcqjPzRt0bN1x7rL18jZyEOeaS8Z5PuzZtRd5/jBrutJ1HiMzmyq4uosc+68/+6+Rzz78eeTJgHN39XtcYzWj88vMLFfkWXnWnWuv3n4JuevOpPoaXUinH78f+UCcLqvzz1wP1eD3X3aC9714h99Za/IMiaTp14vEeS5WWuFH1XaVZ2UuVULudrjmGk26yZJu/j99/0+zBneOFUfZvpnZxirbjCZ5rl07/xzyLrcvJtzeW7m5wM/n94X73OD+zSW4bqNxtjngkWHNHe7v0V2jyKs3uebu3GFNZmbHjtPxVMqzk2aUNR07+elQG+Kdxf7f+s23vugtuPaFL/4YKhHi3Y0cTkKI9xs3fv033vIa/eJJCCGEEEIIIYQQQgwFvXgSQgghhBBCCCGEEENBL56EEEIIIYQQQgghxFCIv/UlP6RWKyMnYvRtlEbolFjbovfCzGyiRPdFqUi3zaBNJ0Q5aCNvlCvIuVwGeWHhDvKhM3RQmJkVcnT4xAdJ5EeefBj56WdfR86k6VI5eOQIcq/XDPWZiLPPjTLva3ltCbldpX8jGqOHpLNNT01hhu6b3iDsQtnY4nc6gx5ysUivTL9L59PlWwvIB+YPINdW6NbZ2qKvxcwsnuJy295hTZ//2EeQv/hvfg/5Ex96EnmzWkUenwg7va5cuYKcyXC+qxWO9a1leodOnj6EfOwI7/vECXpLfvZnPhSqYXSUayZh9CXV65yLZpPeoN0njiMXi1xPvS73jZlZ2XnC2m2OVXRAP9r6CtfgkVNnkbNdft536+fIcY6Lmdni9ibyKxc5Fx997D5ev15GLrq9mqrS1zOT5ziame390CPIJ84eRe63uT/zJc7/D16j26ZZ5V595QXOzZ55zq2Z2fQuOreWltnmZz7zd5CjV+kqS6XpFTp6agL5+p2wT6vWKyPHndTnY8c/h7zhHG3XkvPIg2vc/y/1ebYePRx2mdXb3N83XqJXKkhxfx50DqitDvO+WZ5r33zmO6E+K7XLyKVRnvm75g4jP3eJ9/Howw8iX9yk42/PGF1KycYnQjXEotxbgyj/f05hkvPbq3O/tvjotLHdfKbEA65RM7O1Zc7fmTPso77D+WvUG8ipOD/fXGQeG+OztVA8GKoh6HI/Ll4vI/czOeRjJ0NNCCHEewI5nYQQ4q3RL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDIVIEARhIdBdeOnZP0V+9ulnkRsd+lbKW2EvRaNJF8aly/RtNFqtH5k7A/pWItTU2OMP0O+xXqFDyMys7b7zCz9FZ8c//7e/i1xboSvnyQ+eQZ6e2Ytc3gnf99ISfVcd5+TZ2KQ3plKnV+SpjzyOvLZGd87SCvP+XTOhGq7epqOnWWMfXefsObyX9/XS668iHztM71Ayxnt64fzFUA0nD9O3E/TcOOzQCzVWoneqNEJ3zkiBeXVtOdRnIUcHT3GEbb55ZQE5laID6thpulMmS3PIH3rkGPLCHbpXzMwOTI0iH3TusQtv0I919vgU8sYm/Sv1ehk5naYDzMwsn6VfpZdkzvS4rrecmmxsxvnXetzfb7xyAfnUGbrRzMwSCTbajNI71FrnvhiZ45qLRaeR62v0rVX7nCszs6BaRr569Sbyp3/ub7CN7VXkRo9nRipGL1F3wDPstdfCvqXqFj1BCbdON+Oc78nsPuRgjfM9N0rX0cYG97KZ2dwc12nfeeGaTgO2tk7v1L7jJeSv3TmP/KkEvUPtyfAZ02/wHComJpFHpykz6tXo7AuidERFU7y+u8OxNzOzjPPfdfg4u1Z/HvnRmUeR7ww4MO0tPnPefOZbyMWTYY/cJ878Tbbh3ITtBuvOJVLIL770HPLu3fRn5fPcu2Zm6RH+W6vGunMjPHPK17hfo+7MiCZLyJcvc99kwiozS2e4rr0H8tTJs8i7jnLsxTuP/b/1mz/2Nq994Ys/9jaFeDuRz0kIIcLc+PXfeMtr9IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgwFvXgSQgghhBBCCCGEEEMh/taX/JB6nZ6Khx57BPnGdXpLDu6lS8fM7NLNK8gHDh1G/t73vofc7tMh0ajSY7F/3yw7cI6Q1a1yqIbvf/8F5EE7gry1zvs8e4xuk73zrNni9NaUzMlUzOzA4QeRr1+9hZxK0FWT3aQr5Zrz1PRdFyXnLUre5XVi0qm8Dp04gbzp+nz+Ffp0pibpHdrZpiMoV6T7ZMI5RszMqk16pXJpekriMc7fk09wjV1za2x9jY6g7QrXh5nZR5+kk+v1V7kGqx36dH7173+BbS4vIh88ug95c52fP/Wxz4Zq+OMv/yFyZIJjM797AjmWoxunu0PfzsQUPVO9aHjC623Oz3SBzqZCgX0ObtHHFNSdn6nuHGBz9O9U18JOr3QsgxyfpYeo2uXeay/ROzQWoytpeZUOsNOn6dcyM0vv5dilCmnkWECfWm9AJ1u1UkaemOfeag3Y/gee4D2amV3aoEjutnP8lHr0I43leIZYgXutscn53eTUmpnZwM4hT+w7gDwzx7qfvv0HyJUbn0T+UO4J5FaO91S5/EaohlNHTiGXGxzr6gbvc+88z+9rt+lo253leXArEn5cTTnvW6TBM2Aq4P6/cZODNzLO+c06N9YDT/4U8iBJ15mZWatB59bIlHtuBRz7QYfjMloqseYZrqlaM+xw63b4ELhxnvN/+DTvu+X24q4JntflDp9B07t5D90G96qZ2a5pzueteAl5rUWH165QC+L9gPfhyPkkhBBCvD/RL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDIV7djxtb9G/knXOmCcefxz5wht0TpiZnTpJ78iF8/TtHD95FHnQplfk1m26NKJt+jZurbG97VrY+fPLf/2XkJdWeF8f/gB9TOcvXULeU6Zn5qmPPoT85pv0MZmZ1cv0iiwv8T4qFd5nNEp3xmuvvIIcJOnjmBmbRl5Jhr0zk84DddHdV79Hh080RifUyAh9THdu3EGuVujz6PTDTpC/9YVPIP+T/+c/Qz5z5BByyfl5bl65inzgEB0/jUHYv3LiFK8p36aTKZrnmhvJ0KeS3TePPD5DN9JMcS9yJBJ2fH3qcx9BDhpl9jlOX9LFc68hd/K8r7EEvVQ7zUaoz5Gx/cgLN68h9wb8zq4sa7hT5X1kI1nkeJzjtN3nXJmZZVNcc52rl5EnnPOps8O9tRlnmwePsr3lDTrDzMwWt+gBe/CRB5BXFzj/kST33kSWfW6X2Ue7zTMl0aMbzcxsMkMvXHub7qJIj/6sxhr7vPImz877P8pzc1+UZ6+Z2fIm9+e5Le6Vj8+cRN5/7KPIJ1scp0GG8z86vQ850w3/P4sfvPgy8kMfOIu82qBP69xLdLQlRlLIF5+m8y9+mOvFzKzZ4n0v3FhBnnTremBt5I1VnlPJSZ6lPTd39z3CcTQzu32R+7XfYZuvX30W+f5H+KycLo4jN7vOWxVhzWZmS853NrWLHqmvfetF5Ece59l6a5trMGfbyH03vYmE85CZWS0oIW/e/gFyZYnPofvP8PwX70+888kjB5R4p/FWa1YIIcS9oV88CSGEEEIIIYQQQoihoBdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgKkSAIgre+zOz3/81vIR+epUMmPU4HxPnLG6E2pufoaFm5Rb9SIU9vzMUL9Gt0O3SEVFtV5NtLdIbs3bsrVEO0Tz/Skx+6H/mbf/oN5Iceuo9tHuR9X7lyHXlkYirU5wvffwm5XqHz6eYSxyqVorfkP/7Rl5FPHKGXKF/guG7tcFzMzJaW6ZU68yBdVqtLdN8cO0JPzZVL9Gel0vSxNFr0Dk2OjYZqGCmyzqBHd9Grl95APrB3H69v0jszPllEjoS1UlbeWkXe2KSj5wtf+BTy/C7ncHKOp0KbWrSZY7uRW5Xwurc4XSeDKJ0+sQrHftEpm05O8z6jo7PIL73AcTMz27eHbpteg2OdGed9bq3eRh6fnkFux1lD4PZiocj1YGZWrdIbZlHn4OpyHJIB9289yRpvvnwe+chhjoOZWWJqjm1GuS6//+1vI89M0ekTz3DvZeO8h/wEnV5BNTzfLfc+P1Ogw6e+TT/ajQv0wjUSXGPVMv07uaPhsU5v8vztz9PhM2E8t15beAF5MMK5eHTsFGuucxx7DTq/zMzGR7i3UlmumQNHTiAv3+LZmcjxzHjx+3QGrS/yeWFm9sBZfxZyr41N8Rnw4ovcK+MZPg/W124hn36MPqa1O+H5Hj9E99T4GA+i5gbnYuEifWunnvww8vXrPKu3lliTmdlOnYfEI089hnznEts4eIJesPPP8zxP5+mVqpQ51rsP7AvVEPT5vF6+TIfbzMnjyKfueyrUhnhnsf+3fvPtLuEtkQNKDBs5nYQQ4i/PjV//jbe8Rr94EkIIIYQQQgghhBBDQS+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU7tnx9MozX0WO5+jSsBo9JDc2w56h/c6f0+7SG7KzzTYycXpL8mP0VFS3K8g9Y3uDJt0aZmYW0OkxNkUXztZWl23G6KXZWttE3r2bTpmdCmsyM9t2XqF6bQe5EfD9X6PFcfi3v0PH0+07K8iRKMdpdITjZGaWStHHMTfHugtZum1u3qHzJ5OkV2Z5jT6elJurKwv0t5iZff6zn0duOU9Js8W86dw2yQHn5pFHHkbe2OT1ZmaBe7f6yKP0zBzYRwdMLst1/dCZA8hXrtAZlR7luJXu4rZKZei6sRi33PrV15F36nTE7NtFR1BinPO7eJ3rycwskWkj93c4XwcO70MeGGu8cZk1ze8/idwMOBfLt9i+mdnJPfREbTW5dxpu/seP0CsUZxe2s811n4jQS2Rmls1zvmt1jkO9wc/jPe7XeNJ9v8L9H43xHnpdzr+ZmWU4f90d+rA6UbrOBg2OwyDHvXT5hQvILT8wZhaZZBsj1RLy3v10Ib38Kue3OFZDbh+YRK5v0m10Ms25MjObKPFsDbL0ZyV77CPo09kWTdIzNF3g/N4pO/mZmeXT9GFtdNnH7fMLyA/c/wBryLCP65cuIRcinP/UVNgbOBawz40Gz9oD+7lfy2Wu43qLNQQ9zu/OtnOlmVm3SwdTxHg+94xjO7abdSe7fCb1U1yz8Tb3zdJWuIZikvPRidK5tm+Me+nwoz8TakO8s3g3OJ5+Esgj9f5CTichhPjPR44nIYQQQgghhBBCCPG2oRdPQgghhBBCCCGEEGIo6MWTEEIIIYQQQgghhBgKevEkhBBCCCGEEEIIIYbCPcvFz73wNeRel/LRphOFt8oUrpqZpVIUtTYTFBqXlyldPXX6IHLfCY2jA8psmzXWlCo6AbqZrdxeRL51Zwl59ywlrC+9+iryEx98AtmPw+oy5cNmZtEIx6bXpXz20vUbyMVsFrnrJLztHttbWWGfr56/FqohleRYVcpl5NuLHJcTJyjh3tnm9dk8BcnrG5QPl0qUtpuZ1Zusu+vG7nOf+jTyaxcoVZ5249KKU4g7Ox7u89p1StI/9fGnkE8dpUR510GuuXaTY9/cpkR770EKtPs1SnvNzGJprsN61UmWnRw+6PF9cDdFgfL5N24ij82GZfKPPfgIcnnpMnK+SNF/uVZGzhTY5kiae7fRocz41sLFUA3pDNf57Mxe5Ndefhl5fu9u5BiHxfpO3J/dRZmxmVlrm/L31XX+kYPDhw4jL67wzJmZ4n2/+txryNE8RdB75w6Farh8ZQH52Mk9yH7ddztcx+WdLeR2g2twaYH7wsws7v4XQmy/k9zHy4hjBc5/Z53XbzuR+4GnXHtNzr+ZmV1x0vOxKZbQ5lzEoxzL8jY/n5xljaVxnjlmZus3eX53M5y/g/v3I6/e5tmYcGfz6BTvc2eNAu1qlVJvM7Mr11l3y4n8Mxnu/8WtZeSJMZ5BY24Nrq6E/1DH3BTHLuHmv9KnqD07KCPnxih+L7j7TqY4v8luWGi/uM11moqxpmyuhHzm4Y+F2hDvLCQX/6sjIfk7F8nDhRBi+EguLoQQQgghhBBCCCHeNvTiSQghhBBCCCGEEEIMBb14EkIIIYQQQgghhBBD4Z4dT9/6k3+F3B3QO1PM0edya4GeCzOzuWPzyMGA3+k5P06xwPdizQi9E9EmnS+dbhM5kqYjxMzMuvRlJDL0Bm07J8zufXRh3L5BF1Iuw5oyo2Hfzjf+7JvI6QJdGNaiZ6RvlNv03QxVnI8n0qJ/5w+++u1QDb0ePTHxOJ1PeXcfrSbnolCiA6Re49hvbrGmtPMSmZkt3KabaH4XnT+nThxHvnqd1586eoB9rtO3cv/DD4T6HHR5H2dPHkN+8NGTyCMFulFiCY5bo8nJSMR6yJ0m16CZ2dIKnU6HT9FllOxzPURjdeTlHe6DkTi9M4lI2LfT7XB+Lt7ZRt6/i3ujWecazOW5N+scBltZoFtndNI5gMxseoq+tGib9xVLuzNkdh9yzXnDElnui9VVfm5mNpmjL2kQLbGNNNuod+jfqSy8ipye5Dg11rjmeomwR67coMMp4vZry+3vZIbzH6twsHsluo2K2fD/L/j2155BDjKcz6k99J9d+D7n78MffYw11rlv1peZF5fuhGq4/+HTyBU3VpsbdNHd/9D9yJ11+tiqAcc2nwo73LJZ7r8dv1cmuI6bDe6dwLnv6js77nN+v+G8RmZmtRbXXG4khzw3yvu4fpttzI5yfpsR1tQph72BO33e58mTPBt3ypyvDEu0qQN008UGPEMKo1yT7fCxZtcunkMeJLmf9xw6gvzA/R8PNyLeUcjx9JNDTqjhIaeTEEL85JHjSQghhBBCCCGEEEK8bejFkxBCCCGEEEIIIYQYCnrxJIQQQgghhBBCCCGGQljE83/AxhYlD/PTdBm1e3SKRKN0b5iZZZyLpurcJ92A32l26F8an6I7o21d5FyRn3c64RosxmuSzrfSyFKGce7cFeT9s/z+dpkuneu36IAyM5vdQ09Uu8qxaiXZZyzJPiqLdB1NjnHsb95mn6dP0pVkZnb5zavI9Rbnsx3hO8hYzPm3ehzLnvNObVfoIclk6CkxM/uv/t4vI1+6cQv5gTNHkcdKnP92nX6W+x6k02ljPewVm5/m2K9v0eHVbDnnS5e+rK0y/Uzjk/SxlLfZ56Trz8wsE2OfLz/zEnKjx3V8dB89VCXnBIu6se3X6aUxM1tvc+z2H+Sa6TdZU7fLCa3X6Skam6ZDJnOQvp0ot5GZmUVS/Mdikc6n29e5t2rNC8hJ1+bWKvdJL8E1amb26nXuxwdO0a+zvEjvULTKsW9lOU5xt+63q6zhvgforTMzu3lzFTk9TU/U2o0F5IZbYweP05e1vMG5ySTCPq3HnnwY+XvPvYw8yHEwf+YfPIL8xh+9iTwzWUJuN7nGul48Z2a5Vhl5PeAZkyqwTTPnR4sXkdMDrtFkjp+bmd1ZZZ/pEa7LTecusyb9WeN57q1Nd8ak3XkwyJRCNUzHuCZu73ANZmPcr902+9jaYk3FSZ4hvUzYbRWvsI9Xnj+PPFpine0s73P75TeQN8uc37OnDyHXnSvPzKzj1sRolnthxa1zo9JLiPc1f1kPkZxQP0T+JiGEePeiXzwJIYQQQgghhBBCiKGgF09CCCGEEEIIIYQQYijoxZMQQgghhBBCCCGEGAqRIAjCsg4hhBBCCCGEEEIIIf4z0S+ehBBCCCGEEEIIIcRQ0IsnIYQQQgghhBBCCDEU9OJJCCGEEEIIIYQQQgwFvXgSQgghhBBCCCGEEENBL56EEEIIIYQQQgghxFDQiychhBBCCCGEEEIIMRT04kkIIYQQQgghhBBCDAW9eBJCCCGEEEIIIYQQQ0EvnoQQQgghhBBCCCHEUPj/AbNFRuK6vEM3AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for images, masks in train_batches.take(2):\n",
    "  sample_image, sample_mask = images[0], masks[0]\n",
    "  display([sample_image, sample_mask])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FAOe93FRMk3w"
   },
   "source": [
    "## モデルを定義する\n",
    "\n",
    "ここで使用されるモデルは変更された [U-Net](https://arxiv.org/abs/1505.04597) です。U-Net には、エンコーダ（ダウンサンプラー）とデコーダ（アップサンプラー）が含まれます。強力な特徴量を理解してトレーニング可能なパラメータ数を減らすため、[MobileNetV2](https://arxiv.org/abs/1801.04381) というトレーニング済みモデルをエンコーダとして使用します。デコーダについてはアップサンプルブロックを使用しますが、これは TensorFlow Examples リポジトリの [pix2pix](https://github.com/tensorflow/examples/blob/master/tensorflow_examples/models/pix2pix/pix2pix.py) の例に実装済みです。（ノートブックの [pix2pix: 条件付き GAN を使用して画像から画像に変換する](../generative/pix2pix.ipynb)チュートリアルをご覧ください。）\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W4mQle3lthit"
   },
   "source": [
    "前述のとおり、エンコーダは事前トレーニング済みの MobileNetV2 モデルです。`tf.keras.applications` からそのモデルを使用します。エンコーダはモデル内の中間レイヤーからの特定の出力で構成されています。トレーニングプロセス中にエンコーダはトレーニングされないので注意してください。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:16.558897Z",
     "iopub.status.busy": "2024-01-11T22:13:16.558270Z",
     "iopub.status.idle": "2024-01-11T22:13:18.044876Z",
     "shell.execute_reply": "2024-01-11T22:13:18.044042Z"
    },
    "id": "liCeLH0ctjq7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet_v2/mobilenet_v2_weights_tf_dim_ordering_tf_kernels_1.0_128_no_top.h5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "   8192/9406464 [..............................] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "9406464/9406464 [==============================] - 0s 0us/step\n"
     ]
    }
   ],
   "source": [
    "base_model = tf.keras.applications.MobileNetV2(input_shape=[128, 128, 3], include_top=False)\n",
    "\n",
    "# Use the activations of these layers\n",
    "layer_names = [\n",
    "    'block_1_expand_relu',   # 64x64\n",
    "    'block_3_expand_relu',   # 32x32\n",
    "    'block_6_expand_relu',   # 16x16\n",
    "    'block_13_expand_relu',  # 8x8\n",
    "    'block_16_project',      # 4x4\n",
    "]\n",
    "base_model_outputs = [base_model.get_layer(name).output for name in layer_names]\n",
    "\n",
    "# Create the feature extraction model\n",
    "down_stack = tf.keras.Model(inputs=base_model.input, outputs=base_model_outputs)\n",
    "\n",
    "down_stack.trainable = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KPw8Lzra5_T9"
   },
   "source": [
    "デコーダおよびアップサンプラは、単に TensorFlow の 例に実装されている一連のアップサンプラブロックに過ぎません。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.048784Z",
     "iopub.status.busy": "2024-01-11T22:13:18.048523Z",
     "iopub.status.idle": "2024-01-11T22:13:18.072577Z",
     "shell.execute_reply": "2024-01-11T22:13:18.071841Z"
    },
    "id": "p0ZbfywEbZpJ"
   },
   "outputs": [],
   "source": [
    "up_stack = [\n",
    "    pix2pix.upsample(512, 3),  # 4x4 -> 8x8\n",
    "    pix2pix.upsample(256, 3),  # 8x8 -> 16x16\n",
    "    pix2pix.upsample(128, 3),  # 16x16 -> 32x32\n",
    "    pix2pix.upsample(64, 3),   # 32x32 -> 64x64\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.076040Z",
     "iopub.status.busy": "2024-01-11T22:13:18.075517Z",
     "iopub.status.idle": "2024-01-11T22:13:18.080881Z",
     "shell.execute_reply": "2024-01-11T22:13:18.080261Z"
    },
    "id": "45HByxpVtrPF"
   },
   "outputs": [],
   "source": [
    "def unet_model(output_channels:int):\n",
    "  inputs = tf.keras.layers.Input(shape=[128, 128, 3])\n",
    "\n",
    "  # Downsampling through the model\n",
    "  skips = down_stack(inputs)\n",
    "  x = skips[-1]\n",
    "  skips = reversed(skips[:-1])\n",
    "\n",
    "  # Upsampling and establishing the skip connections\n",
    "  for up, skip in zip(up_stack, skips):\n",
    "    x = up(x)\n",
    "    concat = tf.keras.layers.Concatenate()\n",
    "    x = concat([x, skip])\n",
    "\n",
    "  # This is the last layer of the model\n",
    "  last = tf.keras.layers.Conv2DTranspose(\n",
    "      filters=output_channels, kernel_size=3, strides=2,\n",
    "      padding='same')  #64x64 -> 128x128\n",
    "\n",
    "  x = last(x)\n",
    "\n",
    "  return tf.keras.Model(inputs=inputs, outputs=x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LRsjdZuEnZfA"
   },
   "source": [
    "最後のレイヤーのフィルタ数は `output_channels` の数に設定されています。これはクラス当たり 1 つの出力チャンネルとなります。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "j0DGH_4T0VYn"
   },
   "source": [
    "## モデルをトレーニングする\n",
    "\n",
    "では、後は、モデルををコンパイルしてトレーニングするだけです。\n",
    "\n",
    "これはマルチクラスの分類問題であり、ラベルがクラスごとのピクセルのスコアのベクトルではなくスカラー整数であるため、`tf.keras.losses.SparseCategoricalCrossentropy` 損失関数を使用して、`from_logits` を `True` に設定します。\n",
    "\n",
    "推論を実行すると、ピクセルに割り当てられたラベルが最も高い値を持つチャンネルです。これは、`create_mask` 関数の作用です。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.083902Z",
     "iopub.status.busy": "2024-01-11T22:13:18.083643Z",
     "iopub.status.idle": "2024-01-11T22:13:18.661957Z",
     "shell.execute_reply": "2024-01-11T22:13:18.661314Z"
    },
    "id": "6he36HK5uKAc"
   },
   "outputs": [],
   "source": [
    "OUTPUT_CLASSES = 3\n",
    "\n",
    "model = unet_model(output_channels=OUTPUT_CLASSES)\n",
    "model.compile(optimizer='adam',\n",
    "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xVMzbIZLcyEF"
   },
   "source": [
    "結果のモデルアーキテクチャをプロットしてみましょう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.665947Z",
     "iopub.status.busy": "2024-01-11T22:13:18.665351Z",
     "iopub.status.idle": "2024-01-11T22:13:18.889477Z",
     "shell.execute_reply": "2024-01-11T22:13:18.888599Z"
    },
    "id": "sw82qF1Gcovr"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.utils.plot_model(model, show_shapes=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Tc3MiEO2twLS"
   },
   "source": [
    "トレーニングする前に、モデルが何を予測するかを試してみましょう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.893890Z",
     "iopub.status.busy": "2024-01-11T22:13:18.893611Z",
     "iopub.status.idle": "2024-01-11T22:13:18.898066Z",
     "shell.execute_reply": "2024-01-11T22:13:18.897474Z"
    },
    "id": "UwvIKLZPtxV_"
   },
   "outputs": [],
   "source": [
    "def create_mask(pred_mask):\n",
    "  pred_mask = tf.math.argmax(pred_mask, axis=-1)\n",
    "  pred_mask = pred_mask[..., tf.newaxis]\n",
    "  return pred_mask[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.901333Z",
     "iopub.status.busy": "2024-01-11T22:13:18.900640Z",
     "iopub.status.idle": "2024-01-11T22:13:18.905072Z",
     "shell.execute_reply": "2024-01-11T22:13:18.904434Z"
    },
    "id": "YLNsrynNtx4d"
   },
   "outputs": [],
   "source": [
    "def show_predictions(dataset=None, num=1):\n",
    "  if dataset:\n",
    "    for image, mask in dataset.take(num):\n",
    "      pred_mask = model.predict(image)\n",
    "      display([image[0], mask[0], create_mask(pred_mask)])\n",
    "  else:\n",
    "    display([sample_image, sample_mask,\n",
    "             create_mask(model.predict(sample_image[tf.newaxis, ...]))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:18.908164Z",
     "iopub.status.busy": "2024-01-11T22:13:18.907610Z",
     "iopub.status.idle": "2024-01-11T22:13:21.966948Z",
     "shell.execute_reply": "2024-01-11T22:13:21.966253Z"
    },
    "id": "X_1CC0T4dho3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1/1 [==============================] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "1/1 [==============================] - 3s 3s/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_predictions()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "22AyVYWQdkgk"
   },
   "source": [
    "以下に定義されるコールバックは、トレーニング中にモデルがどのように改善するかを観測するために使用されます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:21.975284Z",
     "iopub.status.busy": "2024-01-11T22:13:21.974989Z",
     "iopub.status.idle": "2024-01-11T22:13:21.979161Z",
     "shell.execute_reply": "2024-01-11T22:13:21.978574Z"
    },
    "id": "wHrHsqijdmL6"
   },
   "outputs": [],
   "source": [
    "class DisplayCallback(tf.keras.callbacks.Callback):\n",
    "  def on_epoch_end(self, epoch, logs=None):\n",
    "    clear_output(wait=True)\n",
    "    show_predictions()\n",
    "    print ('\\nSample Prediction after epoch {}\\n'.format(epoch+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:13:21.982174Z",
     "iopub.status.busy": "2024-01-11T22:13:21.981728Z",
     "iopub.status.idle": "2024-01-11T22:16:19.292548Z",
     "shell.execute_reply": "2024-01-11T22:16:19.291750Z"
    },
    "id": "StKDH_B9t4SD"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1/1 [==============================] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "1/1 [==============================] - 0s 47ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Sample Prediction after epoch 20\n",
      "\n",
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 8s 140ms/step - loss: 0.1712 - accuracy: 0.9302 - val_loss: 0.2666 - val_accuracy: 0.9043\n"
     ]
    }
   ],
   "source": [
    "EPOCHS = 20\n",
    "VAL_SUBSPLITS = 5\n",
    "VALIDATION_STEPS = info.splits['test'].num_examples//BATCH_SIZE//VAL_SUBSPLITS\n",
    "\n",
    "model_history = model.fit(train_batches, epochs=EPOCHS,\n",
    "                          steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                          validation_steps=VALIDATION_STEPS,\n",
    "                          validation_data=test_batches,\n",
    "                          callbacks=[DisplayCallback()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:16:19.296268Z",
     "iopub.status.busy": "2024-01-11T22:16:19.296016Z",
     "iopub.status.idle": "2024-01-11T22:16:19.449068Z",
     "shell.execute_reply": "2024-01-11T22:16:19.448465Z"
    },
    "id": "P_mu0SAbt40Q"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = model_history.history['loss']\n",
    "val_loss = model_history.history['val_loss']\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(model_history.epoch, loss, 'r', label='Training loss')\n",
    "plt.plot(model_history.epoch, val_loss, 'bo', label='Validation loss')\n",
    "plt.title('Training and Validation Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss Value')\n",
    "plt.ylim([0, 1])\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "unP3cnxo_N72"
   },
   "source": [
    "## 予測する"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7BVXldSo-0mW"
   },
   "source": [
    "いくつか予測を行ってみましょう。時間の節約重視の場合はエポック数を少なくしますが、高精度の結果重視の場合はエポック数を増やして設定します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:16:19.452389Z",
     "iopub.status.busy": "2024-01-11T22:16:19.452154Z",
     "iopub.status.idle": "2024-01-11T22:16:21.507961Z",
     "shell.execute_reply": "2024-01-11T22:16:21.507262Z"
    },
    "id": "ikrzoG24qwf5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1/2 [==============>...............] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "2/2 [==============================] - 0s 26ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1/2 [==============>...............] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "2/2 [==============================] - 0s 34ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "1/2 [==============>...............] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "2/2 [==============================] - 0s 37ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_predictions(test_batches, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QAwvlgSNoK3o"
   },
   "source": [
    "## オプション: 不均衡なクラスとクラスの重み"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eqtFPqqu2kxP"
   },
   "source": [
    "セマンティックセグメンテーションデータセットは非常に不均衡であり、特定のクラスピクセルが他のクラスに比べて画像の内側寄りに存在する可能性があります。セグメンテーションの問題はピクセル単位の分類問題として対応することができるため、不均衡性を考慮して損失関数を重み付けすることで、不均衡の問題に対処することができます。単純かつエレガントにこの問題に取り組むことができます。詳細は、[不均衡なデータでの分類](../structured_data/imbalanced_data.ipynb)のチュートリアルをご覧ください。\n",
    "\n",
    "[あいまいさを回避](https://github.com/keras-team/keras/issues/3653#issuecomment-243939748)するために、`Model.fit` は 3 次元以上のターゲットの `class_weight` 引数をサポートしていません。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:16:21.512081Z",
     "iopub.status.busy": "2024-01-11T22:16:21.511540Z",
     "iopub.status.idle": "2024-01-11T22:18:32.713863Z",
     "shell.execute_reply": "2024-01-11T22:18:32.713043Z"
    },
    "id": "aHt90UEQsZDn"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 1:37 - loss: 0.2137 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2231 - accuracy: 0.9356  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2274 - accuracy: 0.9326"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2286 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2299 - accuracy: 0.9294"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2328 - accuracy: 0.9284"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2369 - accuracy: 0.9278"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2392 - accuracy: 0.9274"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2404 - accuracy: 0.9271"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2395 - accuracy: 0.9274"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2434 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.2427 - accuracy: 0.9261"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2435 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2434 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2432 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2452 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2460 - accuracy: 0.9254"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2458 - accuracy: 0.9252"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2457 - accuracy: 0.9251"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2466 - accuracy: 0.9248"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2475 - accuracy: 0.9245"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2483 - accuracy: 0.9243"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2494 - accuracy: 0.9242"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2516 - accuracy: 0.9236"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2521 - accuracy: 0.9236"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2546 - accuracy: 0.9230"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2542 - accuracy: 0.9230"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2546 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2550 - accuracy: 0.9228"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2553 - accuracy: 0.9228"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2555 - accuracy: 0.9230"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2549 - accuracy: 0.9231"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2545 - accuracy: 0.9232"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2543 - accuracy: 0.9232"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2546 - accuracy: 0.9230"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2549 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2552 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2556 - accuracy: 0.9228"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2564 - accuracy: 0.9227"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2570 - accuracy: 0.9227"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2569 - accuracy: 0.9226"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2578 - accuracy: 0.9223"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2579 - accuracy: 0.9222"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2586 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2587 - accuracy: 0.9222"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2589 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2588 - accuracy: 0.9222"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2587 - accuracy: 0.9222"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2590 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2589 - accuracy: 0.9219"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2588 - accuracy: 0.9220"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2594 - accuracy: 0.9218"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2597 - accuracy: 0.9219"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2597 - accuracy: 0.9220"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2600 - accuracy: 0.9218"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2600 - accuracy: 0.9218"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2599 - accuracy: 0.9219"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 8s 113ms/step - loss: 0.2599 - accuracy: 0.9219\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 2/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 3s - loss: 0.2470 - accuracy: 0.9223"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2507 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2613 - accuracy: 0.9190"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2627 - accuracy: 0.9190"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2600 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2606 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2600 - accuracy: 0.9211"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2612 - accuracy: 0.9203"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2573 - accuracy: 0.9217"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2603 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2629 - accuracy: 0.9203"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.2608 - accuracy: 0.9212"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.2613 - accuracy: 0.9214"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2634 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2625 - accuracy: 0.9210"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2621 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2629 - accuracy: 0.9205"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2647 - accuracy: 0.9203"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2631 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2633 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2650 - accuracy: 0.9204"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2645 - accuracy: 0.9205"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2664 - accuracy: 0.9198"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2678 - accuracy: 0.9194"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2677 - accuracy: 0.9196"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2675 - accuracy: 0.9197"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2673 - accuracy: 0.9198"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2671 - accuracy: 0.9198"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2661 - accuracy: 0.9201"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2668 - accuracy: 0.9196"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2663 - accuracy: 0.9199"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2671 - accuracy: 0.9197"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2668 - accuracy: 0.9198"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2671 - accuracy: 0.9197"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2667 - accuracy: 0.9199"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2661 - accuracy: 0.9200"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2655 - accuracy: 0.9202"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2658 - accuracy: 0.9201"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2652 - accuracy: 0.9202"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2646 - accuracy: 0.9204"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2637 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2636 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2643 - accuracy: 0.9205"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2641 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2639 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2637 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2642 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2640 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2641 - accuracy: 0.9206"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2639 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2637 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2633 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2634 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2635 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2634 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2633 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2628 - accuracy: 0.9209"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 115ms/step - loss: 0.2628 - accuracy: 0.9209\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 3/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2541 - accuracy: 0.9218"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 3s - loss: 0.2418 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 4s - loss: 0.2469 - accuracy: 0.9235"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2461 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2477 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2435 - accuracy: 0.9240"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2470 - accuracy: 0.9240"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2480 - accuracy: 0.9238"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2489 - accuracy: 0.9234"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2496 - accuracy: 0.9229"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2486 - accuracy: 0.9233"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.2469 - accuracy: 0.9237"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2449 - accuracy: 0.9243"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2435 - accuracy: 0.9250"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2437 - accuracy: 0.9252"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2417 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2420 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2416 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2419 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2421 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2426 - accuracy: 0.9254"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2425 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2422 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2425 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2422 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2422 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2433 - accuracy: 0.9253"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2428 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2433 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2428 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2422 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2421 - accuracy: 0.9259"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2429 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2423 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2418 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2412 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2407 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2403 - accuracy: 0.9263"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2397 - accuracy: 0.9264"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2398 - accuracy: 0.9264"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2399 - accuracy: 0.9263"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2396 - accuracy: 0.9264"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2392 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2393 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2395 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2395 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2391 - accuracy: 0.9266"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2390 - accuracy: 0.9267"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2395 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2397 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2398 - accuracy: 0.9264"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2402 - accuracy: 0.9263"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2405 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2412 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2414 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2418 - accuracy: 0.9259"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2417 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 7s 116ms/step - loss: 0.2417 - accuracy: 0.9260\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 4/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2668 - accuracy: 0.9142"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2599 - accuracy: 0.9193"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 4s - loss: 0.2594 - accuracy: 0.9193"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2556 - accuracy: 0.9208"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2560 - accuracy: 0.9207"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2614 - accuracy: 0.9203"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2567 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2541 - accuracy: 0.9228"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2561 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2562 - accuracy: 0.9221"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2524 - accuracy: 0.9230"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.2516 - accuracy: 0.9226"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.2522 - accuracy: 0.9231"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2510 - accuracy: 0.9236"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2528 - accuracy: 0.9234"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2520 - accuracy: 0.9235"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2511 - accuracy: 0.9237"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2505 - accuracy: 0.9237"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2489 - accuracy: 0.9241"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2480 - accuracy: 0.9243"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2474 - accuracy: 0.9246"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 4s - loss: 0.2490 - accuracy: 0.9243"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2484 - accuracy: 0.9244"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2482 - accuracy: 0.9246"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2477 - accuracy: 0.9245"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2478 - accuracy: 0.9243"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2472 - accuracy: 0.9245"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2472 - accuracy: 0.9245"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2469 - accuracy: 0.9246"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2467 - accuracy: 0.9248"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 3s - loss: 0.2462 - accuracy: 0.9249"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2459 - accuracy: 0.9249"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2451 - accuracy: 0.9251"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2448 - accuracy: 0.9251"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2444 - accuracy: 0.9252"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2443 - accuracy: 0.9253"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2439 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2435 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2434 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2433 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2430 - accuracy: 0.9255"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2429 - accuracy: 0.9256"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2427 - accuracy: 0.9258"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2429 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2427 - accuracy: 0.9257"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2419 - accuracy: 0.9259"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2418 - accuracy: 0.9260"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2413 - accuracy: 0.9261"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2412 - accuracy: 0.9261"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2411 - accuracy: 0.9261"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2408 - accuracy: 0.9263"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2409 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2407 - accuracy: 0.9262"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2405 - accuracy: 0.9263"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2398 - accuracy: 0.9264"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2397 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2394 - accuracy: 0.9265"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 7s 117ms/step - loss: 0.2394 - accuracy: 0.9265\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 5/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2404 - accuracy: 0.9261"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2326 - accuracy: 0.9285"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2344 - accuracy: 0.9276"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2346 - accuracy: 0.9276"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2351 - accuracy: 0.9270"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2319 - accuracy: 0.9279"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2311 - accuracy: 0.9278"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2287 - accuracy: 0.9283"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2271 - accuracy: 0.9290"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2297 - accuracy: 0.9284"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2282 - accuracy: 0.9290"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.2273 - accuracy: 0.9294"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2257 - accuracy: 0.9298"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2255 - accuracy: 0.9300"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2264 - accuracy: 0.9298"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2260 - accuracy: 0.9299"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2251 - accuracy: 0.9302"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2253 - accuracy: 0.9302"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2242 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2236 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2228 - accuracy: 0.9308"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 4s - loss: 0.2228 - accuracy: 0.9308"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2231 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2232 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2238 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2237 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2232 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2233 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2235 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2239 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2236 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2238 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2234 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2238 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2239 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2240 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2240 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2238 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2238 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2240 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2237 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2235 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2233 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2240 - accuracy: 0.9303"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2237 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2241 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2245 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2242 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2240 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2239 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2238 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2236 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2236 - accuracy: 0.9305"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2231 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2231 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2239 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2242 - accuracy: 0.9304"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 7s 116ms/step - loss: 0.2242 - accuracy: 0.9304\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 6/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2319 - accuracy: 0.9267"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2215 - accuracy: 0.9302"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2268 - accuracy: 0.9296"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.2263 - accuracy: 0.9295"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2281 - accuracy: 0.9289"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2271 - accuracy: 0.9298"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2247 - accuracy: 0.9303"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2225 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2233 - accuracy: 0.9300"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2238 - accuracy: 0.9299"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2235 - accuracy: 0.9303"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.2226 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2207 - accuracy: 0.9317"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2204 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2203 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2197 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2203 - accuracy: 0.9312"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2214 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2211 - accuracy: 0.9311"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2204 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2214 - accuracy: 0.9312"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2213 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2216 - accuracy: 0.9311"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2227 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2228 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2229 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2228 - accuracy: 0.9307"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2224 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2228 - accuracy: 0.9308"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2230 - accuracy: 0.9306"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2220 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2221 - accuracy: 0.9309"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2217 - accuracy: 0.9311"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2212 - accuracy: 0.9312"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2209 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2211 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2210 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2210 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2210 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2206 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2202 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2200 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2208 - accuracy: 0.9312"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2208 - accuracy: 0.9312"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2206 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2204 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2204 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2202 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2203 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2205 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2200 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2203 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2203 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2200 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2201 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2200 - accuracy: 0.9314"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2196 - accuracy: 0.9316"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 7s 114ms/step - loss: 0.2196 - accuracy: 0.9316\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 7/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2140 - accuracy: 0.9354"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2235 - accuracy: 0.9301"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2155 - accuracy: 0.9330"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.2193 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 6s - loss: 0.2191 - accuracy: 0.9313"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2204 - accuracy: 0.9310"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2190 - accuracy: 0.9318"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2195 - accuracy: 0.9315"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2174 - accuracy: 0.9322"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2165 - accuracy: 0.9326"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2171 - accuracy: 0.9321"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.2148 - accuracy: 0.9329"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2154 - accuracy: 0.9325"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2165 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2179 - accuracy: 0.9319"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2180 - accuracy: 0.9320"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2172 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2169 - accuracy: 0.9325"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2171 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2170 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2168 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2173 - accuracy: 0.9321"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2170 - accuracy: 0.9321"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2166 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2168 - accuracy: 0.9322"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2165 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2169 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2167 - accuracy: 0.9325"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2167 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2176 - accuracy: 0.9321"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2172 - accuracy: 0.9322"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2169 - accuracy: 0.9322"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2170 - accuracy: 0.9321"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2168 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2169 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2160 - accuracy: 0.9326"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2162 - accuracy: 0.9325"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2166 - accuracy: 0.9323"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2162 - accuracy: 0.9324"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2156 - accuracy: 0.9326"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2153 - accuracy: 0.9327"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2146 - accuracy: 0.9329"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2146 - accuracy: 0.9329"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2146 - accuracy: 0.9329"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2145 - accuracy: 0.9330"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2143 - accuracy: 0.9331"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2142 - accuracy: 0.9330"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2140 - accuracy: 0.9331"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2137 - accuracy: 0.9331"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2133 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2131 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2129 - accuracy: 0.9334"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2130 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2131 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2131 - accuracy: 0.9332"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2128 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2126 - accuracy: 0.9334"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 114ms/step - loss: 0.2126 - accuracy: 0.9334\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 8/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2013 - accuracy: 0.9388"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2036 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1997 - accuracy: 0.9379"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.2038 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2036 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2044 - accuracy: 0.9354"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2047 - accuracy: 0.9351"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2055 - accuracy: 0.9348"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2056 - accuracy: 0.9348"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2053 - accuracy: 0.9353"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.2059 - accuracy: 0.9352"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.2056 - accuracy: 0.9353"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2059 - accuracy: 0.9351"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2051 - accuracy: 0.9354"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2041 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2041 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2048 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.2056 - accuracy: 0.9355"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.2054 - accuracy: 0.9354"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.2049 - accuracy: 0.9356"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.2039 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.2034 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.2033 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.2034 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.2029 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.2027 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.2024 - accuracy: 0.9361"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.2022 - accuracy: 0.9362"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.2022 - accuracy: 0.9362"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.2026 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.2026 - accuracy: 0.9361"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.2026 - accuracy: 0.9361"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.2025 - accuracy: 0.9361"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.2027 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.2034 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.2032 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.2031 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.2032 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.2035 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.2039 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.2037 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.2039 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.2035 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.2034 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.2031 - accuracy: 0.9360"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.2034 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.2033 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.2035 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.2035 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.2036 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.2036 - accuracy: 0.9359"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.2037 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.2038 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.2037 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.2039 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.2039 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.2037 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.2037 - accuracy: 0.9358\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 9/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1917 - accuracy: 0.9421"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2001 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.2015 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.2080 - accuracy: 0.9330"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.2078 - accuracy: 0.9335"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.2085 - accuracy: 0.9333"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.2085 - accuracy: 0.9336"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.2070 - accuracy: 0.9343"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.2050 - accuracy: 0.9348"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.2045 - accuracy: 0.9350"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 4s - loss: 0.2032 - accuracy: 0.9354"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.2043 - accuracy: 0.9350"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.2038 - accuracy: 0.9353"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.2023 - accuracy: 0.9357"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.2006 - accuracy: 0.9363"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.2009 - accuracy: 0.9361"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.2006 - accuracy: 0.9362"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1992 - accuracy: 0.9367"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1987 - accuracy: 0.9368"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1987 - accuracy: 0.9368"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1984 - accuracy: 0.9369"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1991 - accuracy: 0.9367"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1988 - accuracy: 0.9368"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1982 - accuracy: 0.9370"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1981 - accuracy: 0.9370"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1981 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1976 - accuracy: 0.9373"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1979 - accuracy: 0.9372"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1983 - accuracy: 0.9372"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1983 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1983 - accuracy: 0.9370"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1980 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1979 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1979 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1979 - accuracy: 0.9372"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1980 - accuracy: 0.9372"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1974 - accuracy: 0.9373"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1979 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1982 - accuracy: 0.9371"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1981 - accuracy: 0.9372"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1978 - accuracy: 0.9373"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1977 - accuracy: 0.9373"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1976 - accuracy: 0.9373"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1971 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1968 - accuracy: 0.9376"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1969 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1968 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1967 - accuracy: 0.9375"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1965 - accuracy: 0.9376"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1964 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1961 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1961 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1960 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1958 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1960 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1961 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1960 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 112ms/step - loss: 0.1960 - accuracy: 0.9377\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 10/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1996 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1942 - accuracy: 0.9398"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1929 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.1903 - accuracy: 0.9403"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1916 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1927 - accuracy: 0.9384"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1947 - accuracy: 0.9379"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1950 - accuracy: 0.9379"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1946 - accuracy: 0.9381"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1953 - accuracy: 0.9380"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 4s - loss: 0.1939 - accuracy: 0.9385"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.1934 - accuracy: 0.9386"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.1926 - accuracy: 0.9388"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1920 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1935 - accuracy: 0.9384"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1930 - accuracy: 0.9386"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1923 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1921 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1923 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1924 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1931 - accuracy: 0.9384"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1930 - accuracy: 0.9384"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1927 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1925 - accuracy: 0.9388"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1929 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1929 - accuracy: 0.9386"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1924 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1918 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1919 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1917 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1916 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1918 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1916 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1913 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1910 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1906 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1905 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1905 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1906 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1906 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1909 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1909 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1907 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1906 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1906 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1907 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1908 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1906 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1908 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1911 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1911 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1913 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1914 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1914 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1913 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1911 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1914 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 112ms/step - loss: 0.1914 - accuracy: 0.9391\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 11/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.2144 - accuracy: 0.9296"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.2037 - accuracy: 0.9327"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1996 - accuracy: 0.9358"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.1971 - accuracy: 0.9376"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1957 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1941 - accuracy: 0.9384"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1965 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1962 - accuracy: 0.9377"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1953 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1947 - accuracy: 0.9382"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 4s - loss: 0.1930 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.1950 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.1947 - accuracy: 0.9379"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1956 - accuracy: 0.9376"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1951 - accuracy: 0.9378"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1940 - accuracy: 0.9383"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1931 - accuracy: 0.9387"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1925 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1917 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1912 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1908 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1911 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1906 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1900 - accuracy: 0.9395"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1906 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1903 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1903 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1904 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1904 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 2s - loss: 0.1900 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1897 - accuracy: 0.9396"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1895 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1894 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1893 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1894 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1895 - accuracy: 0.9396"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1903 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1904 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1903 - accuracy: 0.9395"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1905 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1914 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1915 - accuracy: 0.9392"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1920 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1923 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1924 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1922 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1923 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1923 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1923 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1921 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1921 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1924 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1923 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1921 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1921 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1922 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1921 - accuracy: 0.9390"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 112ms/step - loss: 0.1921 - accuracy: 0.9390\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 12/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1831 - accuracy: 0.9414"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1893 - accuracy: 0.9401"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1915 - accuracy: 0.9396"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.1929 - accuracy: 0.9389"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1908 - accuracy: 0.9393"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1893 - accuracy: 0.9400"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1877 - accuracy: 0.9404"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1897 - accuracy: 0.9395"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1897 - accuracy: 0.9391"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1884 - accuracy: 0.9395"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 4s - loss: 0.1892 - accuracy: 0.9395"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.1898 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.1888 - accuracy: 0.9398"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1885 - accuracy: 0.9397"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1889 - accuracy: 0.9394"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1882 - accuracy: 0.9399"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1870 - accuracy: 0.9401"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1874 - accuracy: 0.9401"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1871 - accuracy: 0.9402"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1872 - accuracy: 0.9402"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1870 - accuracy: 0.9404"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1867 - accuracy: 0.9405"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1871 - accuracy: 0.9403"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1878 - accuracy: 0.9400"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1874 - accuracy: 0.9401"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1871 - accuracy: 0.9403"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1875 - accuracy: 0.9402"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1874 - accuracy: 0.9401"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1871 - accuracy: 0.9403"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 2s - loss: 0.1870 - accuracy: 0.9403"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1868 - accuracy: 0.9404"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1867 - accuracy: 0.9404"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1863 - accuracy: 0.9404"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1861 - accuracy: 0.9405"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1858 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1857 - accuracy: 0.9407"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1855 - accuracy: 0.9408"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1853 - accuracy: 0.9408"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1859 - accuracy: 0.9405"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1858 - accuracy: 0.9405"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1860 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1862 - accuracy: 0.9405"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1857 - accuracy: 0.9407"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1857 - accuracy: 0.9407"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1861 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1865 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1864 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1863 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1862 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1859 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1860 - accuracy: 0.9406"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 112ms/step - loss: 0.1860 - accuracy: 0.9406\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 13/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1813 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1833 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1796 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 5s - loss: 0.1802 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1798 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1791 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1777 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1791 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1795 - accuracy: 0.9424"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1790 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1785 - accuracy: 0.9433"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 4s - loss: 0.1780 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.1777 - accuracy: 0.9433"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1774 - accuracy: 0.9433"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1778 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1789 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1791 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1793 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1802 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1797 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1794 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1795 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1797 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1797 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1796 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1797 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1798 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1798 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1796 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1799 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1797 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1792 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1790 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1790 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1789 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1789 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1787 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1788 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1788 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1787 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1787 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1786 - accuracy: 0.9428"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1786 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1785 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1784 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1783 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1782 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1781 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1781 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1781 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1781 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1780 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 112ms/step - loss: 0.1780 - accuracy: 0.9430\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 14/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1745 - accuracy: 0.9423"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1763 - accuracy: 0.9419"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1805 - accuracy: 0.9415"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1763 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1747 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1753 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1743 - accuracy: 0.9444"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1762 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1774 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1781 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1793 - accuracy: 0.9420"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1790 - accuracy: 0.9422"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 4s - loss: 0.1786 - accuracy: 0.9424"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1785 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1780 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1786 - accuracy: 0.9427"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1787 - accuracy: 0.9425"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1781 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1781 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1778 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1778 - accuracy: 0.9426"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1777 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1776 - accuracy: 0.9430"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1770 - accuracy: 0.9432"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1769 - accuracy: 0.9432"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1765 - accuracy: 0.9432"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1763 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1763 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1759 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1759 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1763 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1757 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1760 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1759 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1756 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1754 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1752 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1751 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1754 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1752 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1750 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1746 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1744 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1745 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1743 - accuracy: 0.9440"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1742 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1741 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1740 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1737 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1733 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1733 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1734 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1732 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1734 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1733 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1734 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1734 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.1734 - accuracy: 0.9442\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 15/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1637 - accuracy: 0.9478"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1714 - accuracy: 0.9462"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1647 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1674 - accuracy: 0.9471"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1721 - accuracy: 0.9454"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1738 - accuracy: 0.9446"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1752 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1751 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1762 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1770 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1761 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1768 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1764 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1779 - accuracy: 0.9433"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1765 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1765 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1765 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1761 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1764 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1762 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1762 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1762 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1765 - accuracy: 0.9434"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1760 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1758 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1760 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1760 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1758 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1758 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1755 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1757 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1759 - accuracy: 0.9437"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1754 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1751 - accuracy: 0.9440"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1748 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1743 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1745 - accuracy: 0.9440"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1743 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1742 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1738 - accuracy: 0.9443"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1734 - accuracy: 0.9444"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1732 - accuracy: 0.9445"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1732 - accuracy: 0.9445"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1730 - accuracy: 0.9445"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1727 - accuracy: 0.9446"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1725 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1725 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1725 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1724 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1724 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1723 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1722 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1724 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1725 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1725 - accuracy: 0.9447"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1722 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1722 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.1722 - accuracy: 0.9448\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 16/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1641 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1651 - accuracy: 0.9479"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1638 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1709 - accuracy: 0.9446"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1725 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1721 - accuracy: 0.9444"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1730 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1752 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1766 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1760 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1761 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1760 - accuracy: 0.9432"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1762 - accuracy: 0.9431"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1756 - accuracy: 0.9433"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1752 - accuracy: 0.9436"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1748 - accuracy: 0.9439"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1745 - accuracy: 0.9438"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1736 - accuracy: 0.9440"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1729 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1726 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1724 - accuracy: 0.9442"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1719 - accuracy: 0.9446"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1720 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1717 - accuracy: 0.9449"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1712 - accuracy: 0.9449"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1710 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1706 - accuracy: 0.9448"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1704 - accuracy: 0.9449"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1704 - accuracy: 0.9450"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1704 - accuracy: 0.9451"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1699 - accuracy: 0.9453"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1695 - accuracy: 0.9454"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1692 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1690 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1689 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1687 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1686 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1687 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1687 - accuracy: 0.9456"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1688 - accuracy: 0.9456"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1687 - accuracy: 0.9456"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1686 - accuracy: 0.9457"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1690 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1691 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1693 - accuracy: 0.9454"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1691 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1689 - accuracy: 0.9455"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1688 - accuracy: 0.9456"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1688 - accuracy: 0.9457"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1687 - accuracy: 0.9457"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1687 - accuracy: 0.9457"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1688 - accuracy: 0.9456"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1684 - accuracy: 0.9458"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1684 - accuracy: 0.9458"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1686 - accuracy: 0.9458"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1685 - accuracy: 0.9458"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1685 - accuracy: 0.9457"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.1685 - accuracy: 0.9457\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 17/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1674 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1682 - accuracy: 0.9463"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1662 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1677 - accuracy: 0.9462"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1673 - accuracy: 0.9465"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1674 - accuracy: 0.9465"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1672 - accuracy: 0.9464"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1674 - accuracy: 0.9461"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1659 - accuracy: 0.9465"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1649 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1656 - accuracy: 0.9465"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1656 - accuracy: 0.9466"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1652 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1651 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1655 - accuracy: 0.9467"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1656 - accuracy: 0.9467"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1654 - accuracy: 0.9467"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1654 - accuracy: 0.9467"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1649 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1645 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.1649 - accuracy: 0.9467"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1643 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1646 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1645 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1649 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1646 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1649 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1651 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1646 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1645 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1645 - accuracy: 0.9471"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1642 - accuracy: 0.9471"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1641 - accuracy: 0.9471"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1642 - accuracy: 0.9470"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1638 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1634 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1634 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1634 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1633 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1636 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1638 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1637 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1637 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1637 - accuracy: 0.9473"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1637 - accuracy: 0.9473"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1635 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1635 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1633 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1630 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1628 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1627 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1626 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1625 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1623 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1624 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1624 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1624 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 114ms/step - loss: 0.1624 - accuracy: 0.9477\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 18/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1710 - accuracy: 0.9435"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1681 - accuracy: 0.9441"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1652 - accuracy: 0.9462"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1651 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 6s - loss: 0.1632 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1642 - accuracy: 0.9468"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1641 - accuracy: 0.9466"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1632 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1620 - accuracy: 0.9473"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1633 - accuracy: 0.9469"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1630 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1630 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1630 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1628 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1621 - accuracy: 0.9479"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1619 - accuracy: 0.9479"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1626 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1634 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1636 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1640 - accuracy: 0.9471"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.1639 - accuracy: 0.9472"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1636 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1633 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1627 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1623 - accuracy: 0.9478"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1626 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1626 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1628 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1633 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1630 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1627 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1629 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1629 - accuracy: 0.9475"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1626 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1624 - accuracy: 0.9477"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1621 - accuracy: 0.9478"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1618 - accuracy: 0.9479"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1616 - accuracy: 0.9480"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1613 - accuracy: 0.9481"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1613 - accuracy: 0.9480"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1611 - accuracy: 0.9480"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1609 - accuracy: 0.9481"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1608 - accuracy: 0.9482"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1605 - accuracy: 0.9483"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1602 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1603 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1601 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1599 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1597 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1594 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1592 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1592 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1591 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1590 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1589 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1589 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1589 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 114ms/step - loss: 0.1589 - accuracy: 0.9487\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 19/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1778 - accuracy: 0.9429"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1693 - accuracy: 0.9465"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1652 - accuracy: 0.9476"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1642 - accuracy: 0.9478"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1630 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1620 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1622 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1629 - accuracy: 0.9479"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1637 - accuracy: 0.9474"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1627 - accuracy: 0.9478"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1622 - accuracy: 0.9480"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1617 - accuracy: 0.9483"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1613 - accuracy: 0.9483"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1604 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1597 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1599 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1595 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1596 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1599 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1598 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 4s - loss: 0.1600 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1601 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1599 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1602 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1598 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1609 - accuracy: 0.9482"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1608 - accuracy: 0.9483"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1605 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1603 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1604 - accuracy: 0.9484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1604 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1603 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1604 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1599 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1597 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1597 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1597 - accuracy: 0.9486"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1597 - accuracy: 0.9487"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1594 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1589 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1587 - accuracy: 0.9490"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1589 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1590 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1587 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1584 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1586 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1586 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1587 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1586 - accuracy: 0.9489"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1588 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1587 - accuracy: 0.9488"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1584 - accuracy: 0.9490"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1582 - accuracy: 0.9490"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1580 - accuracy: 0.9491"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1578 - accuracy: 0.9492"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1576 - accuracy: 0.9492"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1576 - accuracy: 0.9492"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.1576 - accuracy: 0.9492\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 20/20\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/57 [..............................] - ETA: 6s - loss: 0.1537 - accuracy: 0.9485"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/57 [>.............................] - ETA: 6s - loss: 0.1536 - accuracy: 0.9490"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/57 [>.............................] - ETA: 6s - loss: 0.1511 - accuracy: 0.9506"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/57 [=>............................] - ETA: 6s - loss: 0.1514 - accuracy: 0.9507"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/57 [=>............................] - ETA: 5s - loss: 0.1521 - accuracy: 0.9508"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/57 [==>...........................] - ETA: 5s - loss: 0.1539 - accuracy: 0.9502"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/57 [==>...........................] - ETA: 5s - loss: 0.1521 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/57 [===>..........................] - ETA: 5s - loss: 0.1536 - accuracy: 0.9503"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/57 [===>..........................] - ETA: 5s - loss: 0.1540 - accuracy: 0.9497"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/57 [====>.........................] - ETA: 5s - loss: 0.1536 - accuracy: 0.9498"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "11/57 [====>.........................] - ETA: 5s - loss: 0.1535 - accuracy: 0.9500"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12/57 [=====>........................] - ETA: 5s - loss: 0.1533 - accuracy: 0.9501"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13/57 [=====>........................] - ETA: 5s - loss: 0.1527 - accuracy: 0.9505"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "14/57 [======>.......................] - ETA: 4s - loss: 0.1522 - accuracy: 0.9507"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "15/57 [======>.......................] - ETA: 4s - loss: 0.1519 - accuracy: 0.9508"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "16/57 [=======>......................] - ETA: 4s - loss: 0.1519 - accuracy: 0.9507"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "17/57 [=======>......................] - ETA: 4s - loss: 0.1522 - accuracy: 0.9506"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "18/57 [========>.....................] - ETA: 4s - loss: 0.1521 - accuracy: 0.9506"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "19/57 [=========>....................] - ETA: 4s - loss: 0.1522 - accuracy: 0.9506"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "20/57 [=========>....................] - ETA: 4s - loss: 0.1526 - accuracy: 0.9505"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "21/57 [==========>...................] - ETA: 3s - loss: 0.1524 - accuracy: 0.9506"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "22/57 [==========>...................] - ETA: 3s - loss: 0.1521 - accuracy: 0.9507"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "23/57 [===========>..................] - ETA: 3s - loss: 0.1520 - accuracy: 0.9507"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "24/57 [===========>..................] - ETA: 3s - loss: 0.1519 - accuracy: 0.9508"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "25/57 [============>.................] - ETA: 3s - loss: 0.1515 - accuracy: 0.9509"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "26/57 [============>.................] - ETA: 3s - loss: 0.1513 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "27/57 [=============>................] - ETA: 3s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "28/57 [=============>................] - ETA: 3s - loss: 0.1509 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "29/57 [==============>...............] - ETA: 3s - loss: 0.1508 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "30/57 [==============>...............] - ETA: 3s - loss: 0.1511 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "31/57 [===============>..............] - ETA: 2s - loss: 0.1513 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "32/57 [===============>..............] - ETA: 2s - loss: 0.1512 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "33/57 [================>.............] - ETA: 2s - loss: 0.1514 - accuracy: 0.9509"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "34/57 [================>.............] - ETA: 2s - loss: 0.1515 - accuracy: 0.9509"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "35/57 [=================>............] - ETA: 2s - loss: 0.1517 - accuracy: 0.9509"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "36/57 [=================>............] - ETA: 2s - loss: 0.1515 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "37/57 [==================>...........] - ETA: 2s - loss: 0.1516 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "38/57 [===================>..........] - ETA: 2s - loss: 0.1514 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "39/57 [===================>..........] - ETA: 2s - loss: 0.1514 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "40/57 [====================>.........] - ETA: 1s - loss: 0.1513 - accuracy: 0.9509"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "41/57 [====================>.........] - ETA: 1s - loss: 0.1511 - accuracy: 0.9510"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "42/57 [=====================>........] - ETA: 1s - loss: 0.1511 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "43/57 [=====================>........] - ETA: 1s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "44/57 [======================>.......] - ETA: 1s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "45/57 [======================>.......] - ETA: 1s - loss: 0.1508 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "46/57 [=======================>......] - ETA: 1s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "47/57 [=======================>......] - ETA: 1s - loss: 0.1509 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "48/57 [========================>.....] - ETA: 1s - loss: 0.1509 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "49/57 [========================>.....] - ETA: 0s - loss: 0.1509 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "50/57 [=========================>....] - ETA: 0s - loss: 0.1509 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "51/57 [=========================>....] - ETA: 0s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "52/57 [==========================>...] - ETA: 0s - loss: 0.1511 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "53/57 [==========================>...] - ETA: 0s - loss: 0.1511 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "54/57 [===========================>..] - ETA: 0s - loss: 0.1512 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "55/57 [===========================>..] - ETA: 0s - loss: 0.1510 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "56/57 [============================>.] - ETA: 0s - loss: 0.1511 - accuracy: 0.9511"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - ETA: 0s - loss: 0.1510 - accuracy: 0.9512"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "57/57 [==============================] - 6s 113ms/step - loss: 0.1510 - accuracy: 0.9512\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Expected AssertionError: \n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "  model_history = model.fit(train_batches, epochs=EPOCHS,\n",
    "                            steps_per_epoch=STEPS_PER_EPOCH,\n",
    "                            class_weight = {0:2.0, 1:2.0, 2:1.0})\n",
    "  assert False\n",
    "except Exception as e:\n",
    "  print(f\"Expected {type(e).__name__}: {e}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "brbhYODCsvbe"
   },
   "source": [
    "そのため、この場合、自分で重み付けを実装する必要があります。これにはサンプルの重み付けを使用します。`Model.fit` は `(data, label)` ペアのほかに `(data, label, sample_weight)` トリプレットも受け入れます。\n",
    "\n",
    "Keras `Model.fit` は `sample_weight` を損失とメトリクスに伝搬しますが、`sample_weight` 引数も受け入れます。サンプル重みは、縮小ステップの前にサンプル値で乗算されます。以下に例を示します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:18:32.717714Z",
     "iopub.status.busy": "2024-01-11T22:18:32.717056Z",
     "iopub.status.idle": "2024-01-11T22:18:32.728415Z",
     "shell.execute_reply": "2024-01-11T22:18:32.727817Z"
    },
    "id": "EmHtImJn5Kk-"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.0485873, 30.485874 ], dtype=float32)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label = [0,0]\n",
    "prediction = [[-3., 0], [-3, 0]] \n",
    "sample_weight = [1, 10] \n",
    "\n",
    "loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True,\n",
    "                                               reduction=tf.keras.losses.Reduction.NONE)\n",
    "loss(label, prediction, sample_weight).numpy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Gbwo3DZ-9TxM"
   },
   "source": [
    "つまり、このチュートリアルのサンプル重みを作るには、`(data, label)` ペアを取って `(data, label, sample_weight)` トリプルを返す関数が必要となります。`sample_weight` は各ピクセルのクラス重みを含む 1-channel の画像です。\n",
    "\n",
    "実装を可能な限り単純にするために、ラベルを`class_weight` リストのインデックスとして使用します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:18:32.731735Z",
     "iopub.status.busy": "2024-01-11T22:18:32.731480Z",
     "iopub.status.idle": "2024-01-11T22:18:32.735782Z",
     "shell.execute_reply": "2024-01-11T22:18:32.735169Z"
    },
    "id": "DlG-n2Ugo8Jc"
   },
   "outputs": [],
   "source": [
    "def add_sample_weights(image, label):\n",
    "  # The weights for each class, with the constraint that:\n",
    "  #     sum(class_weights) == 1.0\n",
    "  class_weights = tf.constant([2.0, 2.0, 1.0])\n",
    "  class_weights = class_weights/tf.reduce_sum(class_weights)\n",
    "\n",
    "  # Create an image of `sample_weights` by using the label at each pixel as an \n",
    "  # index into the `class weights` .\n",
    "  sample_weights = tf.gather(class_weights, indices=tf.cast(label, tf.int32))\n",
    "\n",
    "  return image, label, sample_weights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hLH_NvH2UrXU"
   },
   "source": [
    "この結果、データセットの各要素には、3 つの画像が含まれます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:18:32.739067Z",
     "iopub.status.busy": "2024-01-11T22:18:32.738827Z",
     "iopub.status.idle": "2024-01-11T22:18:32.790359Z",
     "shell.execute_reply": "2024-01-11T22:18:32.789747Z"
    },
    "id": "SE_ezRSFRCnE"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(TensorSpec(shape=(None, 128, 128, 3), dtype=tf.float32, name=None),\n",
       " TensorSpec(shape=(None, 128, 128, 1), dtype=tf.float32, name=None),\n",
       " TensorSpec(shape=(None, 128, 128, 1), dtype=tf.float32, name=None))"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_batches.map(add_sample_weights).element_spec"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Yc-EpIzaRbSL"
   },
   "source": [
    "次に、この重み付けが付けられたデータセットでモデルをトレーニングしてみましょう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:18:32.793440Z",
     "iopub.status.busy": "2024-01-11T22:18:32.793191Z",
     "iopub.status.idle": "2024-01-11T22:18:33.266482Z",
     "shell.execute_reply": "2024-01-11T22:18:33.265685Z"
    },
    "id": "QDWipedAoOQe"
   },
   "outputs": [],
   "source": [
    "weighted_model = unet_model(OUTPUT_CLASSES)\n",
    "weighted_model.compile(\n",
    "    optimizer='adam',\n",
    "    loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
    "    metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-11T22:18:33.270872Z",
     "iopub.status.busy": "2024-01-11T22:18:33.270263Z",
     "iopub.status.idle": "2024-01-11T22:18:38.735581Z",
     "shell.execute_reply": "2024-01-11T22:18:38.734942Z"
    },
    "id": "btEFKc1xodGR"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 1/10 [==>...........................] - ETA: 38s - loss: 0.4711 - accuracy: 0.2827"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2/10 [=====>........................] - ETA: 1s - loss: 0.4268 - accuracy: 0.3568 "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3/10 [========>.....................] - ETA: 0s - loss: 0.3960 - accuracy: 0.4152"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4/10 [===========>..................] - ETA: 0s - loss: 0.3689 - accuracy: 0.4681"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5/10 [==============>...............] - ETA: 0s - loss: 0.3479 - accuracy: 0.5123"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6/10 [=================>............] - ETA: 0s - loss: 0.3298 - accuracy: 0.5504"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7/10 [====================>.........] - ETA: 0s - loss: 0.3136 - accuracy: 0.5833"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8/10 [=======================>......] - ETA: 0s - loss: 0.3008 - accuracy: 0.6074"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9/10 [==========================>...] - ETA: 0s - loss: 0.2885 - accuracy: 0.6303"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/10 [==============================] - ETA: 0s - loss: 0.2782 - accuracy: 0.6484"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10/10 [==============================] - 5s 118ms/step - loss: 0.2782 - accuracy: 0.6484\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.History at 0x7f8ebaeba3a0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weighted_model.fit(\n",
    "    train_batches.map(add_sample_weights),\n",
    "    epochs=1,\n",
    "    steps_per_epoch=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "R24tahEqmSCk"
   },
   "source": [
    "## 次のステップ\n",
    "\n",
    "これで画像セグメンテーションとは何か、それがどのように機能するかについての知識が得られたはずです。このチュートリアルは、異なる中間レイヤー出力や、異なる事前トレーニング済みモデルでも試すことができます。また、Kaggle がホストしている [Carvana](https://www.kaggle.com/c/carvana-image-masking-challenge/overview) 画像マスキングチャレンジに挑戦してみることもお勧めです。\n",
    "\n",
    "[Tensorflow Object Detection API](https://github.com/tensorflow/models/blob/master/research/object_detection/README.md) を参照して、独自のデータで再トレーニング可能な別のモデルを確認するのも良いでしょう。トレーニング済みのモデルは、[TensorFlow Hub](https://www.tensorflow.org/hub/tutorials/tf2_object_detection#optional) にあります。"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "segmentation.ipynb",
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}