Function space analysis of deep learning representation layers

9 Oct 2017 Oren Elisha Shai Dekel

In this paper we propose a function space approach to Representation Learning and the analysis of the representation layers in deep learning architectures. We show how to compute a weak-type Besov smoothness index that quantifies the geometry of the clustering in the feature space... (read more)

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