TensorFlow Hub

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.

Getting Started

• Introduction
• Installation
• Common issues
• Tutorials:
  • Image Retraining
  • Text Classification
  • 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

Contributing

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.

License

Apache License 2.0