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Today, we are learning about weight standardization by C1 Cow from Johns Hopkins University. Weight standardization is a normalization technique for training neural networks and is often used in conjunction with group normalization for improved performance. In a study comparing batch norm, group norm, and weight standardization with group norm, the combined techniques achieved higher accuracy in ImageNet. This highlights the importance of using weight standardization alongside group normalization for optimal results.