Gradient Centralization: A New Optimization Technique for Deep Neural Networks（讲解）
论文地址：https://arxiv.org/pdf/2004.01461.pdf 项目地址：https://github.com/Yonghongwei/Gradient-Centralization 论文总体解读：化繁为简python 不一样于基于激活或权重向量运行的技术，该研究提出了一种基于权重向量梯度的简单而有效的 DNN 优化技术——梯度中心化（GC）。 以下图)所示，GC 只是经过中心
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相关文章
- 1. 【论文阅读】Gradient Centralization: A New Optimization Technique for Deep Neural Networks
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