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TensorFlow Model Optimization introduced full post-training integer quantization last summer, but quantization-aware training was only available as an unofficial "contrib" package. PyTorch, TensorFlow ...
Over the past year, Google’s TensorFlow has asserted itself as a popular open source toolkit for deep learning. But training a TensorFlow model can be cumbersome and slow—especially when the mission ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...