A Hardware-Friendly Low-Bit Power-of-Two Quantization Method for CNNs and Its FPGA Implementation

To address the problems of convolutional neural networks (CNNs) consuming more hardware resources (such as DSPs and RAMs on FPGAs) and their accuracy, efficiency, and resources being difficult to balance, meaning they cannot meet the requirements of industrial applications, we proposed an innovative...

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Detalles Bibliográficos
Autores principales: Sui, Xuefu, Lv, Qunbo, Bai, Yang, Zhu, Baoyu, Zhi, Liangjie, Yang, Yuanbo, Tan, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460272/
https://www.ncbi.nlm.nih.gov/pubmed/36081072
http://dx.doi.org/10.3390/s22176618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460272/
https://www.ncbi.nlm.nih.gov/pubmed/36081072
http://dx.doi.org/10.3390/s22176618

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