It's interesting, because the common wisdom that I've encountered is that neural networks are better when you can feed them large amounts of data. But some of t

It's interesting, because the common wisdom that I've encountered is that neural networks are better when you can feed them large amounts of data. But some of the use cases here (e.g. approximating the solution to a set of partial differential equations) are so far outside the kind of work I do that I have a hard time conceptualizing them or how they work.