Compression of Convolutional Neural Networks Based on Kernel Redundancy
碩士 === 國立政治大學 === 資訊科學系 === 107 === The model size and floating-point operations (FLOP) required by convolutional neural networks make it difficult to deploy these models to mobile devices or embedded systems. In this thesis, we propose a method known as the diversifying algorithm to compress CNN mo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/6wquk2 |