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Deep neural networks often come with a huge number of parameters,even larger than the number of training exam-ples,but it seems that these over-parameterized models have not suffered from overfitting.This is quite strange and why over-parameterization does not overfit?poses a fundamen-tal question concerning the mysteries behind the success of deep neural networks.