PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration

23 Jun 2020Jianrong XuChao LiBifeng CuiKang YangYongjun Xu

The existence of a lot of redundant information in convolutional neural networks leads to the slow deployment of its equipment on the edge. To solve this issue, we proposed a novel deep learning model compression acceleration method based on data distribution characteristics, namely Pruning Filter via Gaussian Distribution Feature(PFGDF) which was to found the smaller interval of the convolution layer of a certain layer to describe the original on the grounds of distribution characteristics ... (read more)

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