加法神经网络--AdderNet: DoWe Really Need Multiplications in Deep Learning?

时间 2020-07-25

标签加法神经网络 addernet dowe really multiplications deep learning 繁體版

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AdderNet: DoWe Really Need Multiplications in Deep Learning? CVPR2020 https://arxiv.org/abs/1912.13200web 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类似性（cross-correlation），因为乘法运算耗时明显大于加法运算耗时，全部本文提出一个加法神经网络，使

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1. 加法神经网络--AdderNet: DoWe Really Need Multiplications in Deep Learning?
2. 【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
3. Addernet学习笔记 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
4. 论文阅读——AdderNet: Do We Really Need Multiplications in Deep Learning?
5. 论文笔记：AdderNet: Do We Really Need Multiplications in Deep Learning?
6. 论文阅读：Do We Really Need Multiplications in Deep Learning?
7. 论文笔记：Do We Really Need Multiplications in Deep Learning？
8. AdderNet: Do we really need multiplications in deep learning——准研究生论文周报
9. Do Deep Nets Really Need to be Deep?
10. Deep Learning - 1 神经网络
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1. 加法神经网络--AdderNet: DoWe Really Need Multiplications in Deep Learning?
2. 【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
3. Addernet学习笔记 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
4. 论文阅读——AdderNet: Do We Really Need Multiplications in Deep Learning?
5. 论文笔记：AdderNet: Do We Really Need Multiplications in Deep Learning?
6. 论文阅读：Do We Really Need Multiplications in Deep Learning?
7. 论文笔记：Do We Really Need Multiplications in Deep Learning？
8. AdderNet: Do we really need multiplications in deep learning——准研究生论文周报
9. Do Deep Nets Really Need to be Deep?
10. Deep Learning - 1 神经网络

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