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Rethinking arithmetic for deep neural networks
We consider efficiency in the implementation of deep neural networks. Hardware accelerators are gaining interest as machine learning becomes one of the drivers of high-performance computing. In these accelerators, the directed graph describing a neural network can be implemented as a directed graph...
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| Publicado no: | Philos Trans A Math Phys Eng Sci |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7015291/ https://ncbi.nlm.nih.gov/pubmed/31955685 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsta.2019.0051 |
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