Comment by jarvic

This is also one of its major drawbacks, though, because the features it "discovers" are often not easily interpretable. Sure, you can get good classification performance, which is sometimes good enough.

I work with a lot of scientists, though, who don't just want performance, but insight. This is where neural networks and related techniques still fall short compared to more "traditional" methods.