Optimizing the Deep Neural Networks by Layer-Wise Refined Pruning and the Acceleration on FPGA

To accelerate the practical applications of artificial intelligence, this paper proposes a high efficient layer-wise refined pruning method for deep neural networks at the software level and accelerates the inference process at the hardware level on a field-programmable gate array (FPGA). The refine...

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Detalles Bibliográficos
Autores principales: Li, Hengyi, Yue, Xuebin, Wang, Zhichen, Chai, Zhilei, Wang, Wenwen, Tomiyama, Hiroyuki, Meng, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177312/
https://www.ncbi.nlm.nih.gov/pubmed/35694575
http://dx.doi.org/10.1155/2022/8039281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177312/
https://www.ncbi.nlm.nih.gov/pubmed/35694575
http://dx.doi.org/10.1155/2022/8039281

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