Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
Convolutional neural networks are a promising tool for solving the problem of pattern recognition. Most well-known convolutional neural networks implementations require a significant amount of memory to store weights in the process of learning and working. We propose a convolutional neural network a...
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| 主要な著者: | , , , , , , , , , |
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| フォーマット: | Статья |
| 言語: | English |
| 出版事項: |
Elsevier B.V.
2020
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| 主題: | |
| オンライン･アクセス: | https://dspace.ncfu.ru/handle/20.500.12258/12120 |
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