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模型加速:WAE-Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
時間 2021-01-02
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WAE
模型加速
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WAE(Wavelet-like Auto-Encoder) 是由來自中大、哈工大、桂電等多機構的多名研究人員合作提出的,發表於AAAI-2018(論文地址: https://arxiv.org/pdf/1712.07493.pdf github 創新點: 1. WAE藉助小波分解得思想,將原圖分解成兩個低分辨率圖像,以達到網絡加速的目。 (PS:整體思路:下采樣的方法達到網絡加速,但是下采樣會導
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相關文章
1.
論文筆記:Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
2.
模型加速--Slimmable neural networks
3.
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
4.
神經網絡壓縮(9) WAE-Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
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Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
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Neural Networks and Deep Learning -- Class 3: Shallow neural networks
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