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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.

For beginners
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.

For experts
Generative adversarial networks

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

For experts
Neural machine translation with attention

Train a sequence-to-sequence model for Spanish to English translation 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 TensorFlow Trusted Partner Pilot Program

We are piloting a program to connect businesses with system integrators who are experienced in machine learning solutions, and can help you innovate faster, solve smarter, and scale bigger.

Connect with a TensorFlow Trusted Partner

Explore our initial collection of Trusted Partners who can help accelerate your business goals with ML.

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.

June 29, 2020
Integrate Responsible AI practices into your ML workflow

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.

Mar 16, 2020
Google Developers Machine Learning Crash Course

The Machine Learning Crash Course is a self-study guide for aspiring machine learning practitioners featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Mar 12, 2020
TensorFlow Dev Summit 2020 Recap

Our virtual Dev Summit brought announcements of TensorFlow 2.2 plus many new features and additions to the ecosystem! Read the recap on our blog to learn about the updates and watch video recordings of every session.

Mar 10, 2020
Differentiate yourself with the TensorFlow Developer Certificate

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.

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.