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TheTensorFlow Model Optimization Toolkit is a suite of tools that users,both novice and advanced, can use to optimize machine learning models fordeployment and execution.

Supported techniques include quantization and pruning for sparse weights.There are APIs built specifically for Keras.

For an overview of this project and individual tools, the optimization gains,and our roadmap refer totensorflow.org/model_optimization.The website also provides various tutorials and API docs.

The toolkit provides stable Python APIs.

For installation instructions, seetensorflow.org/model_optimization/guide/install.

If you want to contribute to TensorFlow Model Optimization, be sure to reviewthecontribution guidelines. This project adheres toTensorFlow'scode of conduct.By participating, you are expected to uphold this code.

We useGitHub issues fortracking requests and bugs.

As part of TensorFlow, we're committed to fostering an open and welcomingenvironment.

• TensorFlow Blog: Stay up to date on contentfrom the TensorFlow team and best articles from the community.