收录:
摘要:
CDLN(Conditional Deep Learning Network) is a structure of convolution neural network with multiple classifiers. CDLN could improve the speed for the task of classification while the module of the network is still too large for mobile devices. To address this issue, a method for compressing CDLN, which is named one-shot whole network compression scheme. In the experiments, the module size and time cost are significantly reduced while the accuracy of the network losses a little.
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来源 :
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT 2017)
ISSN: 2352-538X
年份: 2017
卷: 70
页码: 183-186
语种: 英文