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1 Ergebnisse
1
A 13.7μJ/prediction 88% Accuracy CIFAR-10 Single-Chip Wired..:
, In:
2022 IEEE Hot Chips 34 Symposium (HCS)
,
Hsu, Yao-Chung
;
Kosuge, Atsutake
;
Sumikawa, Rei
... - p. 1-14 , 2022
Link:
https://doi.org/10.1109/HCS55958.2022.9895600
RT T1
2022 IEEE Hot Chips 34 Symposium (HCS)
: T1
A 13.7μJ/prediction 88% Accuracy CIFAR-10 Single-Chip Wired-logic Processor in 16-nm FPGA using Non-Linear Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9895600&Exemplar=1&LAN=DE A1 Hsu, Yao-Chung A1 Kosuge, Atsutake A1 Sumikawa, Rei A1 Shiba, Kota A1 Hamada, Mototsugu A1 Kuroda, Tadahiro YR 2022 SN 2573-2048 K1 Codes K1 Artificial neural networks K1 Hardware K1 Energy efficiency K1 Artificial intelligence K1 Field programmable gate arrays SP 1 OP 14 LK http://dx.doi.org/https://doi.org/10.1109/HCS55958.2022.9895600 DO https://doi.org/10.1109/HCS55958.2022.9895600 SF ELIB - SuUB Bremen
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