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Scale, Data Scale and Distincte Abstraction in Deep Learning
Can you grow the size of data intelligently in such a way that the distribution of your training set does include the entirety of the testing set? I think that one path is toldin new methodology, rits, not statistical. But i don't think fundamentally, it will be solved with this. And for instance, i'm really liking a some style or approach that would not only have neural networks, but it would have programmes or some discreet decision making. Because there is whate i feel there's a bit moreik.