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

Internet

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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