TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
Easy model building
Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.
Robust ML production anywhere
Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.
Powerful experimentation for research
A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.
Solutions to common ML problems
Simple step-by-step walkthroughs to solve common ML problems with TensorFlow.
Train a neural network to classify images of clothing, like sneakers and shirts, in this fast-paced overview of a complete TensorFlow program.
Train a generative adversarial network to generate images of handwritten digits, using the Keras Subclassing API.
Train a sequence-to-sequence model for Spanish to English translation using the Keras Subclassing API.
Companies using TensorFlow
Ready to expand your TensorFlow skills? Customize your model architecture and build real-world computer vision and generative deep learning applications in this 4-course Specialization on Coursera.
Submit your TensorFlow project for a chance to be featured on our #TFCommunitySpotlight, receive swag, and meet a member of the TensorFlow team.
TensorFlow is committed to helping make progress in the responsible development of AI by sharing a collection of resources and tools with the ML community.
Check out our TensorFlow Certificate program for practitioners to showcase their expertise in machine learning in an increasingly AI-driven global job market.
Resources and community support
We are committed to fostering an open and welcoming ML community. Join the TensorFlow community and help grow the ecosystem.
Use TensorFlow 2.2 to build a model or application with AI Principles in mind. As you build, ask questions related to fairness, privacy, and security.
We post regularly to the TensorFlow Blog, with content from the TensorFlow team and the best articles from the community.
Our YouTube Channel focuses on machine learning and AI with TensorFlow. Explore a number of new shows, including TensorFlow Meets, Ask TensorFlow, and Coding TensorFlow.
For up-to-date news and updates from the community and the TensorFlow team, follow @tensorflow on Twitter.
Join the TensorFlow announcement mailing list to learn about the latest release updates, security advisories, and other important information from the TensorFlow team.