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DSNNs:learning transfer from deep neural networks to spiking neural networks

Zhang Lei Du Zidong Li Ling Chen Yunji

高技术通讯（英文版）2020，Vol.26Issue(2)：136-144,9.

高技术通讯（英文版）2020，Vol.26Issue(2)：136-144,9.DOI:10.3772/j.issn.1006-6748.2020.02.002

DSNNs:learning transfer from deep neural networks to spiking neural networks

Zhang Lei ¹Du Zidong ²Li Ling ³Chen Yunji¹

作者信息

1. State Key Laboratory of Computer Architecture,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,P.R.China
2. Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,P.R.China
3. Cambricon Tech.Ltd,Beijing 100010,P.R.China
折叠

摘要

关键词

deep leaning/spiking neural network (SNN)/convert method/spatially folded network

Key words

deep leaning/spiking neural network (SNN)/convert method/spatially folded network

引用本文复制引用

Zhang Lei,Du Zidong,Li Ling,Chen Yunji..DSNNs:learning transfer from deep neural networks to spiking neural networks[J].高技术通讯（英文版）,2020,26(2):136-144,9.

基金项目

Supported by the National Natural Science Foundation of China(No.61732007)and Strategic Priority Research Program of Chinese Academy of Sciences(XDB32050200,XDC01020000). （No.61732007）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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