Heuristic filter pruning method and system in convolutional neural network

The invention discloses a heuristic filter pruning method and system in a convolutional neural network, and the method comprises the steps: obtaining the adjustment cosine similarity of each filter ofeach convolution layer between two periods, and carrying out the soft pruning of the filters accordi...

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Hauptverfasser: LI KEQIN, TANG ZHUO, LI KENLI, LIU CHUBO, YANG WANGDONG, CHEN ZAILONG, XIAO GUOQING, ZHOU XU
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a heuristic filter pruning method and system in a convolutional neural network, and the method comprises the steps: obtaining the adjustment cosine similarity of each filter ofeach convolution layer between two periods, and carrying out the soft pruning of the filters according to the adjustment cosine similarity; reconstructing the convolutional neural network after the soft pruning updating; repeating the processes of soft pruning and reconstruction until the convolutional neural network with stable precision is obtained; obtaining the adjustment cosine similarity ofeach filter of each convolution layer of the convolution neural network after precision stabilization between two periods, and carrying out hard pruning on the filters according to the adjustment cosine similarity; and carrying out fine tuning on the convolutional neural network after hard pruning updating until the network precision of the convolutional neural network reaches a stable value. According to the invention, t