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9 changes: 9 additions & 0 deletions RELEASE.md
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,15 @@ Keras clustering API:

* Added *ClusteringSummaries* to create additional output for the clustering
progress for TensorBoard.
* Added ClusterableLayer API to support clustering of a keras custom layer.
In addition, now clustering can be done for bias of the layer.
* Introduced two new experimental quantization schemes for Quantization Aware Training
for collaborative model optimization:
- Prune Preserve QAT: pruned model can be QAT trained with preserved sparsity;
- Cluster Preserve QAT: clustered model can be QAT trained with preserved clustering;
* Added a new feature to clustering: average gradient aggregation, which can
improve performance for some models.
* Updated clustering results in the documentation.
* Tested against TensorFlow 1.14.0, 2.0.0, and nightly, and Python 3.

# TensorFlow Model Optimization 0.5.0
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