Convolutional Neural Network Pruning by Training-based Important Channel Identification
碩士 === 國立臺灣大學 === 電子工程學研究所 === 107 === Despite the tremendous success of convolutional neural networks (CNNs) in various applications, their deployment is greatly obstructed by its high computational cost and its large memory usage. Many approaches have been proposed to prune the network channel-wis...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/rch56c |