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A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation

To address the problems of large storage requirements, computational pressure, untimely data supply of off-chip memory, and low computational efficiency during hardware deployment due to the large number of convolutional neural network (CNN) parameters, we developed an innovative hardware-friendly C...

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Detalles Bibliográficos
Autores principales:	Sui, Xuefu, Lv, Qunbo, Zhi, Liangjie, Zhu, Baoyu, Yang, Yuanbo, Zhang, Yu, Tan, Zheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862432/ https://www.ncbi.nlm.nih.gov/pubmed/36679624 http://dx.doi.org/10.3390/s23020824

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