[IEEE 2017 Symposium on VLSI Circuits - Kyoto, Japan...

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[IEEE 2017 Symposium on VLSI Circuits - Kyoto, Japan (2017.6.5-2017.6.8)] 2017 Symposium on VLSI Circuits - A 1.06-to-5.09 TOPS/W reconfigurable hybrid-neural-network processor for deep learning applications

Yin, Shouyi, Ouyang, Peng, Tang, Shibin, Tu, Fengbin, Li, Xiudong, Liu, Leibo, Wei, Shaojun
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Year:
2017
Language:
english
DOI:
10.23919/VLSIC.2017.8008534
File:
PDF, 1.37 MB
english, 2017
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