文献
J-GLOBAL ID:202002264284385359
整理番号:20A2083735
FPGA上の畳込みニューラルネットワークのコードベースソフトマックス加速法【JST・京大機械翻訳】
Cordic-based Softmax Acceleration Method of Convolution Neural Network on FPGA
著者 (5件):
Cao Yongxiang
(College of Information and Electrical Engineering, China Agricultural University, Key Laboratory of Agricultural Informatization and Standardization, Ministry of Agriculture and Rural Affairs, China Agricultural University,Beijing,China)
,
Xiao Wan’ang
(Institute of Semiconductors Chinese Academy of Sciences, Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences,Beijing,China)
,
Jia Jingdun
(College of Information and Electrical Engineering, China Agricultural University, Key Laboratory of Agricultural Informatization and Standardization, Ministry of Agriculture and Rural Affairs, China Agricultural University,Beijing,China)
,
Wu Dehua
(College of Information and Electrical Engineering, China Agricultural University, Key Laboratory of Agricultural Informatization and Standardization, Ministry of Agriculture and Rural Affairs, China Agricultural University,Beijing,China)
,
Zhou Weixin
(College of Information and Electrical Engineering, China Agricultural University, Key Laboratory of Agricultural Informatization and Standardization, Ministry of Agriculture and Rural Affairs, China Agricultural University,Beijing,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICAIIS
ページ:
66-70
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)