An analysis of training and generalization errors in shallow and deep networks

17 Feb 2018 Hrushikesh Mhaskar Tomaso Poggio

This paper is motivated by an open problem around deep networks, namely, the apparent absence of over-fitting despite large over-parametrization which allows perfect fitting of the training data. In this paper, we analyze this phenomenon in the case of regression problems when each unit evaluates a periodic activation function... (read more)

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