A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application

Nowadays, there is a tradeoff between the deep-learning module-compression ratio and the module accuracy. In this paper, a strategy for refining the pruning quantification and weights based on neural network filters is proposed. Firstly, filters in the neural network were refined into strip-like fil...

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Detalles Bibliográficos
Autores principales: Zhao, Ming, Tong, Xindi, Wu, Weixian, Wang, Zhen, Zhou, Bingxue, Huang, Xiaodan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371170/
https://www.ncbi.nlm.nih.gov/pubmed/35957176
http://dx.doi.org/10.3390/s22155623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371170/
https://www.ncbi.nlm.nih.gov/pubmed/35957176
http://dx.doi.org/10.3390/s22155623

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