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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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| 出版年: | Philos Trans A Math Phys Eng Sci |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Royal Society Publishing
2020
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| 主題: | |
| オンライン･アクセス: | 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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