March 13, 2024 — Posted by the TensorFlow team
December 05, 2023 — Posted by the TensorFlow team
November 17, 2023 — Posted by the TensorFlow team
October 19, 2023 — Posted by Surya Kanoria, Joseph Cauteruccio, Federico Tomasi, Kamil Ciosek, Matteo Rinaldi, and Zhenwen Dai – Spotify
July 25, 2023 — Posted by the TensorFlow and Keras Teams
May 10, 2023 — Posted by Ayush Jain, Carlos Araya, and Mani Varadarajan for the TensorFlow team
May 10, 2023 — Posted by Lauren Usui and Joe Fernandez
November 24, 2021 — Posted by Matthew Watson, Keras Developer
January 29, 2020 —
Posted by Tom O’Malley
The success of a machine learning project is often crucially dependent on the choice of good hyperparameters. As machine learning continues to mature as a field, relying on trial and error to find good values for these parameters (also known as “grad student descent”) simply doesn’t scale. In fact, many of today’s state-of-the-art results, such as EfficientNet, were discove…
January 28, 2019 —
Posted by Sara Robinson
Have you ever started building an ML model, only to realize you’re not sure which model architecture will yield the best results? Enter the TensorFlow-based AdaNet framework. With AdaNet, you can feed multiple models into AdaNet’s algorithm and it’ll find the optimal combination of all of them as part of the training process. I’ve been playing with it recently and have bee…
January 14, 2019 —
Posted by the TensorFlow Team
Thanks to an incredible and diverse community, TensorFlow has grown to become one of the most loved and widely adopted ML platforms in the world. This community includes:
Researchers (e.g., to forecast earthquake aftershocks and detect breast cancer).
Developers (e.g., to build apps to identify diseased plants and to help people lose weight).
Companies (e.g., by eBay, D…
December 06, 2018 —
Posted by Sandeep Gupta, Josh Gordon, and Karmel Allison on behalf of the TensorFlow team
TensorFlow is preparing for the release of version 2.0. In this article, we want to preview the direction TensorFlow’s high-level APIs are heading, and answer some frequently asked questions.
August 17, 2018 —
Posted by Stijn Decubber, machine learning engineer at ML6.
August 03, 2018 —
Posted by Raymond Yuan, Software Engineering Intern
In this tutorial, we will learn how to use deep learning to compose images in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as neural style transfer! This is a technique outlined in Leon A. Gatys’ paper, A Neural Algorithm of Artistic Style, which is a great read, and you should definitely check …
July 31, 2018 —
By Raymond Yuan, Software Engineering Intern
In this tutorial we will learn how to train a model that is able to win at the simple game CartPole using deep reinforcement learning. We’ll use tf.keras and OpenAI’s gym to train an agent using a technique known as Asynchronous Advantage Actor Critic (A3C). Reinforcement learning has been receiving an enormous amount of attention, but what is it exact…
July 02, 2018 —
Posted by Zaid Alyafeai
April 24, 2018 —
Posted by Margaret Maynard-Reid
This is a tutorial of how to classify the Fashion-MNIST dataset with tf.keras, using a Convolutional Neural Network (CNN) architecture. In just a few lines of code, you can define and train a model that is able to classify the images with over 90% accuracy, even without much optimization.
