TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models. In particular, it provides modules, which are pre-trained pieces of TensorFlow models that can be reused on new tasks.

• Introduction
• Installation
• Build from source
• Common issues
• Tutorials:
  • Image Retraining
  • Text Cookbook
  • Additional Examples
• Key Concepts:
  • Using a Module
  • Creating a New Module
  • Fine-Tuning a Module
• Modules:
  • Find available modules on tfhub.dev
  • Common Signatures for Modules

If you'd like to contribute to TensorFlow Hub, be sure to review the contribution guidelines. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.

We use GitHub issues for tracking requests and bugs. Please see the TensorFlow Hub mailing list for general questions and discussion, or tag tensorflow-hub on Stack Overflow.

Apache License 2.0