Optimized Compression for Implementing Convolutional Neural Networks on FPGA

Min Zhang
Min Zhang
Linpeng Li
Linpeng Li

Electronics, pp. 2952019.

Cited by: 0|Bibtex|Views17|

Abstract:

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 proposes an optimized compression strategy, an...More

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