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1 Ergebnisse
1
FPQNet: Fully Pipelined and Quantized CNN for Ultra-Low Lat..:
Ji, Mengfei
;
Al-Ars, Zaid
;
Hofstee, Peter
..
Electronics. 12 (2023) 19 - p. 4085 , 2023
Link:
https://doi.org/10.3390/electronics12194085
RT Journal T1
FPQNet: Fully Pipelined and Quantized CNN for Ultra-Low Latency Image Classification on FPGAs Using OpenCAPI
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_electronics12194085&Exemplar=1&LAN=DE A1 Ji, Mengfei A1 Al-Ars, Zaid A1 Hofstee, Peter A1 Chang, Yuchun A1 Zhang, Baolin PB MDPI AG YR 2023 SN 2079-9292 JF Electronics VO 12 IS 19 SP 4085 LK http://dx.doi.org/https://doi.org/10.3390/electronics12194085 DO https://doi.org/10.3390/electronics12194085 SF ELIB - SuUB Bremen
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