Mostly, we treatment about NN generalization on problems where the enter Area is continuous, generally R^n. The authors argue the finite-set results are suitable to those issues, due to the fact you can always discretize R^n to secure a finite established. I do not Assume this captures the forms of perform complexity we care about for NNs.It re
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I feel that investigate of this sort is very suitable for AI alignment. It seems fairly plausible that neural networks, or one thing comparable to them, might be employed to be a ingredient of AGI. If that is the situation, then we would like to have the ability to reliably forecast and cause regarding how neural networks behave in new situations,
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