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* Post training quantization for hybrid kernels -- [Launched](https://medium.com/tensorflow/introducing-the-model-optimization-toolkit-for-tensorflow-254aca1ba0a3)
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* Post training quantization for (8b) fixed-point kernels
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* Training with quantization for (8b) fixed-point kernels
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* Post training quantization for reduced-float (16b) kernels
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* Extend post and during training APIs to (8b) fixed-point RNNs
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* Training with quantization for low bit-width (< 8b) fixed-point kernels
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## Pruning / Sparsity
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* Magnitude based weight pruning during training - Launched
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