Optimized Compression for Implementing Convolutional Neural Networks on FPGA
Electronics, pp. 2952019.
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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