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I mean, at the very least I assume that they can generate a function, check that it wasn't in the training set, then solve it and verify.

Then what would be your complaint?



I don't mean literally memorizing. "memorization" is tongue in cheek for overfit. I'm saying that the net won't actually generalize to classes it hasn't seen examples from (while reduction/transformation algorithms will).




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