Explain the Model quantization in the TensorFlow.
Posted On: Feb 22, 2018
TensorFlow provides techniques to minimize the complexity of optimizing inference. Model quantization is used for reduced precision and representations of weights and also, in some cases, activations for storage and computation. It has several benefits to the users -
- Supporting the exquisite CPU platforms.
- SIMD instruction capabilities are provided.
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