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Why Over-Specified Models Generalize Well?

Tamir Hazan 

 

Abstract

In the last years we have seen a phenomenal success of deep learning. The number of parameters are of current networks is orders of magnitude larger than the size of the training data, yet they generalize remarkably well. In this talk I will present some work in progress, trying to explain the success of these networks.