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PCA Based Kernel Initialization for Convolutional Neural Networks
The initialization of Convolutional Neural Networks (CNNs) is about providing reasonable initial values for the convolution kernels and the fully connected layers. In this paper, we proposed a convolution kernel initialization method based on the two-dimensional principal component analysis (2DPCA),...
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| 發表在: | Data Mining and Big Data |
|---|---|
| Main Authors: | , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7351687/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-981-15-7205-0_7 |
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