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RELEASE.md
@@ -38,7 +38,7 @@ Keras clustering API:
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progress for TensorBoard.
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* Added ClusterableLayer API to support clustering of a keras custom layer.
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In addition, now clustering can be done for bias of the layer.
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-* Introduced two new experimental quantization scheme for Quantization Aware Training
+* Introduced two new experimental quantization schemes for Quantization Aware Training
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for collaborative model optimization:
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- Prune Preserve QAT: pruned model can be QAT trained with preserved sparsity;
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- Cluster Preserve QAT: clustered model can be QAT trained with preserved clustering;
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