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Update tfmot docs following clustering launch.
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README.md

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As part of TensorFlow, we're committed to fostering an open and welcoming
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environment.
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* [TensorFlow Blog](https://medium.com/tensorflow): Stay up to date on content
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* [TensorFlow Blog](https://blog.tensorflow.org): Stay up to date on content
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from the TensorFlow team and best articles from the community.

tensorflow_model_optimization/g3doc/_index.yaml

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- classname: devsite-landing-row-cards
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items:
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- heading: "TensorFlow Model Optimization Toolkit - Weight Clustering API"
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path: https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
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buttons:
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- label: "Read on TensorFlow blog"
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path: https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html
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- heading: "TensorFlow Model Optimization Toolkit - Quantization Aware Training"
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path: https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
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buttons:
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- label: "Read on TensorFlow blog"
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path: https://blog.tensorflow.org/2020/04/quantization-aware-training-with-tensorflow-model-optimization-toolkit.html
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- heading: "TensorFlow Model Optimization Toolkit - Post Training Integer Quantization"
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path: https://blog.tensorflow.org/2019/06/tensorflow-integer-quantization.html
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buttons:
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- label: "Read on TensorFlow blog"
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path: https://blog.tensorflow.org/2019/06/tensorflow-integer-quantization.html
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- classname: devsite-landing-row-cards
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items:
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- heading: "TensorFlow Model Optimization Toolkit - Pruning API"
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path: https://blog.tensorflow.org/2019/05/tf-model-optimization-toolkit-pruning-API.html
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buttons:
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- label: "Read on TensorFlow blog"
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path: https://blog.tensorflow.org/2019/05/tf-model-optimization-toolkit-pruning-API.html
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- classname: devsite-landing-row-cards
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items:
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- heading: "Introducing the Model Optimization Toolkit for TensorFlow"
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path: https://blog.tensorflow.org/2018/09/introducing-model-optimization-toolkit.html
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buttons:
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buttons:
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- label: "View on GitHub"
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path: https://github.com/tensorflow/model-optimization
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- heading: ""
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options:
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- hidden

tensorflow_model_optimization/g3doc/guide/index.md

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Our toolkit supports
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[post-training quantization](./quantization/post_training.md),
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[quantization aware training](./quantization/training.md), and
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[pruning](./pruning/index.md).
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[quantization aware training](./quantization/training.md),
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[pruning](./pruning/index.md), and [clustering](./clustering/index.md).
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### Quantization
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Sparse models are those where connections in between operators (i.e. neural
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network layers) have been pruned, introducing zeros to the parameter tensors.
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### Clustering
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Clustered models are those where the original model's parameters are replaced
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with a smaller number of unique values.

tensorflow_model_optimization/g3doc/guide/optimize_further.md

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Training time tools available for you to try:
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* [Weight pruning](./pruning/)
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* [Quantization] (./quantization/training)
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* [Weight pruning](./pruning/)
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* [Quantization](./quantization/training)
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* [Weight clustering](./clustering/)

tensorflow_model_optimization/g3doc/guide/roadmap.md

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## Weight clustering
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* During-training weight clustering
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* During-training weight clustering --
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[Launched](https://blog.tensorflow.org/2020/08/tensorflow-model-optimization-toolkit-weight-clustering-api.html)
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## Cascading compression techniques
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