Optimized Compression for Implementing Convolutional Neural Networks on FPGA

Optimized Compression for Implementing Convolutional Neural Networks on FPGA

Field programmable gate array (FPGA) is widely considered as a promising platform for convolutional neural network (CNN) acceleration. However, the large numbers of parameters of CNNs cause heavy computing and memory burdens for FPGA-based CNN implementation. To solve this problem, this paper propos...

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Bibliographic Details
Main Authors: Min Zhang, Linpeng Li, Hai Wang, Yan Liu, Hongbo Qin, Wei Zhao
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Electronics
Subjects:
CNN
optimized compression
FPGA
reversed-pruning
peak-pruning
quantization
Online Access:http://www.mdpi.com/2079-9292/8/3/295

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http://www.mdpi.com/2079-9292/8/3/295

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