Solve real-world problems with ML Explore examples of how TensorFlow is used to advance research and build AI-powered applications.

TensorFlow GNN A library to build neural networks on graph data (nodes and edges with arbitrary features), including tools for preparing input data and training models.

Jun 8, 2023 · Keras is the high-level API of the TensorFlow platform. It provides an approachable, highly-productive interface for solving machine learning (ML) problems, with a focus on …

Sep 19, 2023 · An open source machine learning library for research and production.

TensorFlow.js is a library for machine learning in JavaScript Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.

Additionally, responsible AI tools help you uncover and eliminate bias in your data to produce fair, ethical outcomes from your models.

A collection of datasets ready to use with TensorFlow or other Python ML frameworks, such as Jax, enabling easy-to-use and high-performance input pipelines.

Using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—this book helps you gain an intuitive understanding of the concepts …

Feb 9, 2023 · TensorFlow.js is a JavaScript library for training and deploying machine learning models in the web browser and in Node.js. This tutorial shows you how to get started with …

Explore repositories and other resources to find available models and datasets created by the TensorFlow community.