Transverse-layer partitioning of artificial neural networks for image classification
We discuss issues of modular learning in artificial neural networks and explore possibilities of the partial use of modules when the computational resources are limited. The proposed method is based on the ability of a wavelet transform to separate information into high-and low-frequency parts. Usin...
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| Главные авторы: | , , , , , , , , , |
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| 格式: | Статья |
| 語言: | English |
| 出版: |
2024
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| 主題: | |
| 在線閱讀: | https://dspace.ncfu.ru/handle/123456789/27507 |
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