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Today we're discussing weight standardization, a normalization technique for neural network training. It is often used in conjunction with group normalization for optimal performance. Research shows that weight standardization combined with group norm outperforms batch norm and group norm alone in terms of accuracy on ImageNet. The key takeaway is that weight standardization can significantly improve model performance when used alongside group normalization.
