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Mathematics of Deep Learning

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arxiv 1712.04741 v1 pith:XFTQYU7R submitted 2017-12-13 cs.LG cs.CV

Rene Vidal , Joan Bruna , Raja Giryes , Stefano Soatto This is my paper · ORCID
classification cs.LGcs.CV
keywords deeplearningmathematicalaimsarchitecturesbeenclassificationdramatic
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Recently there has been a dramatic increase in the performance of recognition systems due to the introduction of deep architectures for representation learning and classification. However, the mathematical reasons for this success remain elusive. This tutorial will review recent work that aims to provide a mathematical justification for several properties of deep networks, such as global optimality, geometric stability, and invariance of the learned representations.

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