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論文筆記:AdderNet: Do We Really Need Multiplications in Deep Learning?
時間 2020-07-25
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AdderNet論文解讀 《AdderNet: Do We Really Need Multiplications in Deep Learning?》 這是一篇CVPR2020的論文,並選爲oral。北大和華爲諾亞實驗室等聯合提出了一種新的神經網絡架構AdderNet,只用加法在ImageNet中達到了91.7%的精度。 https://www.zhihu.com/question/365144
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相關文章
1.
Addernet學習筆記 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
2.
論文閱讀——AdderNet: Do We Really Need Multiplications in Deep Learning?
3.
論文筆記:Do We Really Need Multiplications in Deep Learning?
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AdderNet: Do we really need multiplications in deep learning——準研究生論文週報
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論文閱讀:Do We Really Need Multiplications in Deep Learning?
6.
【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
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加法神經網絡--AdderNet: DoWe Really Need Multiplications in Deep Learning?
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