Furthermore, many apparent discontinuities can be removed or smoothed by choosing a more appropriate domain, codomain, or topology. This means a neural network can not only approximate any smooth function, but can learn to approximate many discontinious ones as well, provided these arent fundamentally discontinious.

https://en.m.wikipedia.org/wiki/Classification_of_discontinu...