Deep Learning

I trained a set of networks on series of sine data, Yn = A*sin(a + ▲h*n) or = A* sin((a + ▲h*n)/2pi) (for easier normalization and scaling). A and a are just constants.

I’m getting loss on the order of 10^-5. I’ve never seen models like that.