Art

J-GLOBAL ID：201802240165568157   Reference number：18A0322484

FPGA accelerator of CNN using Power of 2 Approximation and Pruning weights

2のべき乗近似とプルーニングを用いたCNN向けFPGAアクセラレータ

Author (5)： UTSUNOMIYA TAKAHIRO (熊本大) ,  AMAGASAKI MOTOKI (熊本大) ,  IIDA MASAHIRO (熊本大) ,  KUGA MORIHIRO (熊本大) ,  SUEYOSHI TOSHINORI (熊本大)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 378(CPSY2017 106-132)  Page： 119-124  Publication year： Jan. 11, 2018 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *neural network (biomodel) ,  *FPGA ,  *data processing system ,  image recognition ,  power (mathematics) ,  approximation method ,  ratio ,  *convolutional neuralnetwork ,  *accelerator
Semi thesaurus term： exponentiation ,  approximation ,  recognition rate

JST classification (3)： Special-purpose arithmetic and control units  (JC04030Y) ,  Artificial intelligence  (JE08000Z) ,  Semiconductor integrated circuit  (NC03162T)

Reference (14)：

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Terms in the title (5)： べき乗 ,  近似 ,  CNN ,  FPGA ,  アクセラレータ