Questions tagged [universal-approximation-theorems]
For questions related to the (different) universal approximation theorems (e.g. in the context of feed-forward neural networks).
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Are No Free Lunch theorem and Universal Approximation theorem contradictory in the context of neural networks?
To my understanding NFL states that, we cannot have an hypothesis (let's assume it is an approximator like NN in this case) class that can't achieve certain accuracy parameters $\leq \epsilon$ with ...
