[ilaksh]

I mean, you extend a DL system by giving it examples. Yes, in fact by harvesting example or annotation data you can extend models many magnitudes faster and more comprehensively than through manual analysis. Effectively the analysis is done automatically. At this point, what comes out it is usually poorly factored and entangled and not human-parseable, but that doesn't prevent it from being applied effectively to a range of narrow tasks that expert systems cannot approach.

We do still rely on expert systems for things that we want to be carefully parsed, verified and analyzed by people though. Such as rules that oversee most self-driving cars based on perception handled by neural networks. However, not all self-driving systems lean as heavily on rules at the top level as others.