HIGHLIGHTS
- who: Xuefu Sui et al. from the Haidian District, Beijing, China School of Optoelectronics, University of Chinese Academy of Sciences, No19(A) Yuquan Road have published the article: A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation, in the Journal: Sensors 2023, 824 of 11/01/2023
- what: This study provides more ideas for the application of CNNs in the field of edge computing. To address the above issues, in this study, the authors focused on software and hardware cooptimization, considering a model pruning method with high sparsity, high accuracy, and high . . .
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