Energy Efficient CNN Inference Accelerator using Fast Fourier Transform
碩士 === 國立交通大學 === 電子研究所 === 107 === In recent years, Deep Convolutional Neural Networks (DCNNs) are state-of-the-art for various classification tasks, but are computationally expensive due to the high-dimensional convolutions. In the thesis, we proposed using FFT-based convolution in frequency domai...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/275wrz |