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For deep learning it seems to be....

Would you tolerate a probabilistic answer to that?

With visual deep learning quantity is absolutely crucial.

Quality of course matters too, but the more information you have in different environments, the better.

Tesla isn't capturing everyone's autopilot miles. They're not even capturing incidents. They don't have anywhere near enough bandwidth for that.

With supervised learning data set size.. ? Uhh