Spectral-based convolutional neural network without multiple spatial-frequency domain switchings
Recent researches have shown that spectral representation provides a significant speed-up in the massive computation workload of convolution operations in the inference (feed-forward) algorithm of Convolutional Neural Networks (CNNs). This approach results in reducing the computational complexity of...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Elsevier B. V.
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/87452/ http://dx.doi.org/10.1016/j.neucom.2019.06.094 |
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