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Resource-constrained FPGA/DNN co-design
Deep neural networks (DNNs) have demonstrated super performance in most learning tasks. However, a DNN typically contains a large number of parameters and operations, requiring a high-end processing platform for high-speed execution. To address this challenge, hardware-and-software co-design strateg...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122185/ https://www.ncbi.nlm.nih.gov/pubmed/34025038 http://dx.doi.org/10.1007/s00521-021-06113-4 |