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Today's tutorial focuses on weight standardization by C1 Cow, Shan Chi Yu Wei Shen Alan from John Hopkins University. Weight standardization is a normalization technique for training neural networks that works in conjunction with group normalization. It is often used together with group normalization to achieve optimal results, as shown in the comparison of batch norm, group norm, and weight standardization used with group norm. The main takeaway is that weight standardization, when used with group norm, can outperform other models in terms of ImageNet top one accuracy.
