Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise

31 Jan 2019Mayank SharmaAayush YadavSumit SomanJayadeva

Deep neural networks are over-parameterized, which implies that the number of parameters are much larger than the number of samples used to train the network. Even in such a regime deep architectures do not overfit... (read more)

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