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Empirical risk minimization in the interpolating regime with application to neural network learning
A common strategy to train deep neural networks (DNNs) is to use very large architectures
and to train them until they (almost) achieve zero training error. Empirically observed good …
and to train them until they (almost) achieve zero training error. Empirically observed good …