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Why TensorFlow

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.

Beginner
Your first neural network

Train a neural network to classify images of clothing, like sneakers and shirts, in this fast-paced overview of a complete TensorFlow program.

Intermediate
Recommender systems

Start with building and training a retrieval model to predict a set of movies that a user is likely to watch, and then use a ranking model to create recommendations.

Expert
Generative adversarial networks

Train a generative adversarial network to generate images of handwritten digits, using the Keras Subclassing API.

Powered by TensorFlow

A diverse community of developers, enterprises and researchers are using ML to solve challenging, real-world problems. Learn how their research and applications are being #PoweredbyTF and how you can share your story.

Explore our AI Service Partners

TensorFlow AI Service Partners offer a range of consulting and software solutions to help you innovate faster, solve smarter, and scale bigger with TensorFlow.

Connect with a TensorFlow AI Service Partner

Explore our collection of AI Service Partners who have experience helping businesses implement AI/ML and TensorFlow-based solutions.

News & announcements

Check out the TensorFlow blog for additional updates, and subscribe to our monthly TensorFlow newsletter to get the latest announcements sent directly to your inbox.

August 16, 2021
Explore Google Dev Library

Dev Library is a showcase of what developers have created with Google technologies. See what’s being built with ML, and submit your own!

May 19, 2021
Watch TensorFlow at Google I/O 2021

Developers and enthusiasts from around the world came together to share the latest in TensorFlow. Watch our collection of TensorFlow keynotes, sessions, workshops, AMAs, and more.

May 18, 2021
Explore the On-Device Machine Learning website

Discover solutions to help you integrate machine learning in your mobile and web apps, and new Google Developers learning pathways to guide you through common ML scenarios and custom use cases.

May 18, 2021
Join the TensorFlow Forum

Explore our new discussion platform to share ideas, find answers to technical questions, and learn the latest from members of the community and the TensorFlow team. Create an account and join the conversation!

Resources and community support

We are committed to fostering an open and welcoming ML community. Join the TensorFlow community and help grow the ecosystem.

TensorFlow Forum  

Join the TensorFlow Forum to share ideas, discuss technical questions and connect with the TensorFlow community.

TensorFlow Blog  

We post regularly to the TensorFlow Blog, with content from the TensorFlow team and the best articles from the community.

YouTube  

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.

TensorFlow announcements  

Join the TensorFlow announcement mailing list to learn about the latest release updates, security advisories, and other important information from the TensorFlow team.