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.
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.
Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use.
A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster.
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.
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.
TensorFlow World is the first event of its kind—gathering the TensorFlow team and machine learning developers to share best practices, use cases, and a firsthand look at the latest TensorFlow product developments.
Announcing the deeplearning.ai TensorFlow Specialization, which teaches you best practices for using TensorFlow's high-level APIs to build neural networks for computer vision, natural language processing, and time series forecasting.
We are committed to fostering an open and welcoming ML community. Join the TensorFlow community and help grow the ecosystem.
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.