The speaker considers optimization-based analysis of deep learning interesting but not necessarily very useful.

“And like this is all made a really really interesting way of thinking about the problem. But it's not necessarily that useful of a problem. Now there are of course counter examples, things where we actually look at kind of the parameterized nature of these, and we can actually make some bigger inferences. With effective we were like the the optimization people uh kind of look into deep learning. Especially um like if you look uh at example spline theory of deep learning, like if you if it actually”