An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples.

Features

  • Deploy ML on mobile and edge devices such as Android, iOS, Raspberry Pi, and Edge TPU
  • Documentation available
  • Train and run models directly in the browser using JavaScript or Node.js.
  • Preprocess data and create input pipelines for ML models
  • Create production ML pipelines and implement MLOps best practices. API tf.keras Create ML models with
  • Create ML models with TensorFlow's high-level API
  • Find pre-trained models ready for fine-tuning and deployment

Project Samples

Project Activity

See All Activity >

License

Apache License V2.0

Follow TensorFlow Documentation

TensorFlow Documentation Web Site

You Might Also Like
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of TensorFlow Documentation!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software, Python Raspberry Pi Software

Registered

2024-08-01