-
given the findings of the previous chapter (universality), why would we concern ourselves with learning deep neural nets?
- especially given that we are guaranteed to be able to approximate any function with just a single layer of hidden neurons?
well, just because something is possible, it doesn't mean it's a good idea!
considering that we are using computers, it's usually a good idea to break the problem down into smaller sub-problems, solve those, and then come back to solve the main problem.