Towards Effective Low-bitwidth Convolutional Neural Networks

CVPR 2018 Bohan ZhuangChunhua ShenMingkui TanLingqiao LiuIan Reid

This paper tackles the problem of training a deep convolutional neural network with both low-precision weights and low-bitwidth activations. Optimizing a low-precision network is very challenging since the training process can easily get trapped in a poor local minima, which results in substantial accuracy loss... (read more)

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