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Neural networks are known to be capable of universal function approximation, but this requires training them on the problem (optimization) which is a NP-complete problem in and of itself, which is why you have evolutionary training and SGD with backpropagation and so on. So while they are not likely to solve NP-complete problems they can be trained to ...

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