A Dimensionality Reduction Layer by Projection in a Convolutional Neural Network
碩士 === 國立臺灣大學 === 應用數學科學研究所 === 107 === In this research, we proposed a dimensionality reduction method that takes the place of the pooling methods. A pooling layer is usually put after a convolutional layer to summarize the output images from the convolutional layer. At the moment, the max-pooling...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/64absc |