Energy-Efficient One-Dimension Winograd’s Minimal Filter Algorithm for Deep Convolutional Neural Networks based on FPGA
碩士 === 國立臺灣科技大學 === 電子工程系 === 107 === The state-of-the-art convolutional neural networks (CNNs) have been widely applied to many deep neural networks (DNNs) models. As the model becomes more accurate, both the number of computation and the data bandwidth are significantly increased. This paper pres...
| 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/ywnysv |