There is a theorem that states that basically a neural network can approximate any function whatsoever. However, this does not mean that it can solve any equation. I have some notes where it states that backpropagation allows us to solve problems of the following kind

$$ F(x_i, t) = y_i $$

Can someone point me to what exactly this means?


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