Title:
Lecture 3: Mathematics for Deep Neural Networks: Advantages of Additional Layers
Lecture 3: Mathematics for Deep Neural Networks: Advantages of Additional Layers
Author(s)
Schmidt-Hieber, Johannes
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Abstract
Why are deep networks better than shallow networks? We provide a survey of the existing ideas in the literature. In particular, we discuss localization of deep networks, functions that can be easily approximated by deep networks and finally discuss the Kolmogorov-Arnold representation theorem.
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Date Issued
2019-03-13
Extent
61:24 minutes
Resource Type
Moving Image
Resource Subtype
Lecture