Podcast #128: We chat with Kent C Dodds about why he loves React and discuss what life was like in the dark days before Git. Listen now.

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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