Training and Inference with Integers in Deep Neural Networks

ICLR 2018 Shuang WuGuoqi LiFeng ChenLuping Shi

Researches on deep neural networks with discrete parameters and their deployment in embedded systems have been active and promising topics. Although previous works have successfully reduced precision in inference, transferring both training and inference processes to low-bitwidth integers has not been demonstrated simultaneously... (read more)

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