Connections between Neural Networks and Pure Mathematics

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In Connections between Neural Networks and Pure Mathematics, I argue that a few powerful theorems involving nested/composite functions, proved by Kolmogorov (1957), Arnold (1958) and Sprecher (1965), help to explain why neural networks can be used to represent almost any process in nature.