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Deep vs. shallow networks : An approximation theory perspective
(Center for Brains, Minds and Machines (CBMM), arXiv, 2016-08-12)
The paper briefly reviews several recent results on hierarchical architectures for learning from examples, that may formally explain the conditions under which Deep Convolutional Neural Networks perform much better in ...