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leni536
on Aug 21, 2015
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A visual proof that neural nets can compute any fu...
I think it's mostly accurate in L2 norm and not point by point. So every function in L2 can be approximated arbitrarily in L2 norm.
chestervonwinch
on Aug 21, 2015
[–]
This is not true. The theorem proves point-wise convergence for a continuous functions on a compact subset of R^n. See theorem 2, page 6:
http://deeplearning.cs.cmu.edu/pdfs/Cybenko.pdf
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