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加法神經網絡--AdderNet: DoWe Really Need Multiplications in Deep Learning?
時間 2021-01-12
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CNN網絡模型壓縮和量化
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AdderNet: DoWe Really Need Multiplications in Deep Learning? CVPR2020 https://arxiv.org/abs/1912.13200 當前主流的CNN網絡使用了大量的乘法運算來計算 輸入特徵層和卷積濾波器的相似性(cross-correlation),由於乘法運算耗時明顯大於加法運算耗時,所有本文提出一個加法神經網絡,使用 l
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相關文章
1.
加法神經網絡--AdderNet: DoWe Really Need Multiplications in Deep Learning?
2.
【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
3.
Addernet學習筆記 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
4.
論文閱讀——AdderNet: Do We Really Need Multiplications in Deep Learning?
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