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In this work, we present some applications of random matrix theory for the training of deep neural networks. Recently, random matrix theory (RMT) has been applied to the overfitting problem in deep learning. Specifically, it has been shown that the s
Externí odkaz:
http://arxiv.org/abs/2303.08986
