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作者:

Li, Lijie (Li, Lijie.) | Zhang, Yan (Zhang, Yan.) | Wang, Pengfei (Wang, Pengfei.)

收录:

CPCI-S

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.

关键词:

module size CDLN one-shot whole network compression scheme

作者机构:

  • [ 1 ] [Li, Lijie]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Yan]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Pengfei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Lijie]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Yan]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 6 ] [Wang, Pengfei]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • [Li, Lijie]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Li, Lijie]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

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相关关键词:

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

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