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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |