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