In general: i depends on a lot of things.

For your specific case: it will almost certainly be better to feed it the raw data.

There were a couple points in your post that seem like fundamental (but common) misunderstandings of neural nets.

1. you cannot scale it up infinitely, that causes over fitting there is an optimal size, finding that size depends on the problem
2. summary statistics are not features. Yes it sometimes makes sense to calculate features, not it almost never makes sense to give it summary statistics
3. yes neural nets identify “features”, no they are not anything you would recognize as a feature