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The Appalachian mountains & the Rocky Mountains :)
Answer:
In the mathematical theory of artificial neural networks, universal approximation theorems are results that establish the density of an algorithmically generated class of functions within a given function space of interest. ... Most universal approximation theorems can be parsed into two classes.
A bay is a water-body bounded by land on all three sides, and a peninsula is a piece of land sticking off a bigger piece of land and surrounded by water on all three sides.
