Resource Adaptive Network
碩士 === 國立交通大學 === 電子研究所 === 107 === State-of-the-art convolution neural networks (CNNs) have achieved great performance over traditional machine learning methods, but also suffer high computational complexity to fit on the resource limited mobile devices. Besides, resource on mobile devices is highl...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/64k2wf |