Fighting Quantization Bias With Bias

7 Jun 2019Alexander FinkelsteinUri AlmogMark Grobman

Low-precision representation of deep neural networks (DNNs) is critical for efficient deployment of deep learning application on embedded platforms, however, converting the network to low precision degrades its performance. Crucially, networks that are designed for embedded applications usually suffer from increased degradation since they have less redundancy... (read more)

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