"ANNs are, at base, “just” stacked mathematical functions, capable of approximating complex relationships."
Hornik and colleagues mathematically established that multilayer feedforward networks can approximate broad classes of functions to arbitrary accuracy under specified conditions. Their foundational result supports the book's description of neural networks as compositions of mathematical functions with substantial approximation capabilities.
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