LiteRT (short for Lite Runtime), formerly known as TensorFlow Lite, is Google's| Google AI for Developers
Learn how to install TensorFlow on your system. Download a pip package, run in a Docker container, or build from source. Enable the GPU on supported cards.| TensorFlow
An open source machine learning library for research and production.| TensorFlow
Introduction to Keras, the high-level API for TensorFlow.| TensorFlow
Announcing the release of TensorFlow GNN 1.0, a production-tested library for building GNNs at Google scale, supporting both modeling and training.| blog.tensorflow.org
A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation.| TensorFlow
Start your TensorFlow training by building a foundation in four learning areas: coding, math, ML theory, and how to build an ML project from start to finish.| TensorFlow
Spotify shares how they use TensorFlow and Reinforcement Learning to train models offline, translating results to large scale, online performance.| blog.tensorflow.org
Build and manage end-to-end production ML pipelines. TFX components enable scalable, high-performance data processing, model training and deployment.| TensorFlow