It's no different, statistical knowledge is still needed to draw the best possible inferences out of the combination of limited data points and prior general information with varying strengths/confidence levels attached. Not to mention that loosely "black box" methods have a long history of their own in non-parametric and semi-parametric stats, so it's not like deep learning is doing anything radically different.