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Fast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic
With increasing real-time constraints being put on the use of Deep Neural Networks (DNNs) by real-time scenarios, there is the need to review information representation. A very challenging path is to employ an encoding that allows a fast processing and hardware-friendly representation of information...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085555/ https://ncbi.nlm.nih.gov/pubmed/32164152 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051515 |
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