Theory I: Deep networks and the curse of dimensionality

We review recent work characterizing the classes of functions for which deep learning can be exponentially better than shallow learning.Deep convolutional networks are a special case of these conditions, though weight sharing is not the main reason for their exponential advantage.

Abstract licence: CC BY

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