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by fchollet on 2020-03-03 (UTC).

Using deep learning as a universal & magical hammer you reach out to every time is actually the opposite of being creative

— François Chollet (@fchollet) March 3, 2020
miscthought
by fchollet on 2020-03-03 (UTC).

DL is applicable when you're doing *pattern recognition*: when you have data that lies on a smooth manifold, along which samples can be interpolated. And you're going to need a dense sampling of your manifold as training data in order to fit a parametric approximation of it

— François Chollet (@fchollet) March 3, 2020
thoughtmisc

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