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...

Full description

Bibliographic Details

Published in:	International Conference on Field-programmable Logic and Applications pp. 1 - 9
Main Authors:	Huimin Li, Xitian Fan, Li Jiao, Wei Cao, Xuegong Zhou, Lingli Wang
Format:	Conference Proceeding
Language:	English
Published:	EPFL 01.08.2016
Subjects:	AlexNet Bandwidth Computational modeling Convolution convolutional neural networks memory bandwidth Neurons Parallel processing parallelism pipeline System-on-chip Throughput
ISSN:	1946-1488
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!