An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

Jul 12, 2025 · 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 makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. See the sections below to get started.

Sep 19, 2023 · Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

In this four-course Specialization taught by a TensorFlow developer, you'll explore the tools and software developers use to build scalable AI-powered algorithms in TensorFlow.

For a step-by-step overview, check out this guide that shows the complete workflow for text classification, and describes important steps like collecting a dataset, and training and …

Oct 3, 2024 · This guide provides a quick overview of TensorFlow basics. Each section of this doc is an overview of a larger topic—you can find links to full guides at the end of each section.

Aug 16, 2024 · Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at …

Mar 2, 2023 · Learn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.

Mar 13, 2025 · TensorFlow 2.19 has been released, including changes to the C++ API in LiteRT, the discontinuation of releasing libtensorflow packages, and more.