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加法神经网络--AdderNet: DoWe Really Need Multiplications in Deep Learning?
时间 2021-01-12
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CNN网络模型压缩和量化
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AdderNet: DoWe Really Need Multiplications in Deep Learning? CVPR2020 https://arxiv.org/abs/1912.13200 当前主流的CNN网络使用了大量的乘法运算来计算 输入特征层和卷积滤波器的相似性(cross-correlation),由于乘法运算耗时明显大于加法运算耗时,所有本文提出一个加法神经网络,使用 l
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相关文章
1.
加法神经网络--AdderNet: DoWe Really Need Multiplications in Deep Learning?
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【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
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