Perhaps part of the description of the problem should also be that we understand descriptions of how neural networks work but there are a lot of things about training them that we don’t understand. And by “understanding” I mean we often don’t have a better way of training things than trial and error. Prescriptive definitions. Maybe it works, maybe it doesn’t, maybe it’s suboptimal (it almost certainly is). And a lot of these things are data-dependent.