A high performance FPGA-based accelerator for large-scale convolutional neural networks

In recent years, convolutional neural networks (CNNs) based machine learning algorithms have been widely applied in computer vision applications. However, for large-scale CNNs, the computation-intensive, memory-intensive and resource-consuming features have brought many challenges to CNN implementat...

Celý popis

Podrobná bibliografia

Vydané v:	International Conference on Field-programmable Logic and Applications s. 1 - 9
Hlavní autori:	Huimin Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, Lingli Wang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	EPFL 01.08.2016
Predmet:	AlexNet Bandwidth Computational modeling Convolution convolutional neural networks memory bandwidth Neurons Parallel processing parallelism pipeline System-on-chip Throughput
ISSN:	1946-1488
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!