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Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure
Deep neural networks may achieve excellent performance in many research fields. However, many deep neural network models are over-parameterized. The computation of weight matrices often consumes a lot of time, which requires plenty of computing resources. In order to solve these problems, a novel bl...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391831/ https://www.ncbi.nlm.nih.gov/pubmed/34441182 http://dx.doi.org/10.3390/e23081042 |