Thanks everyone for the comments and pointers to code. I have coded up a simple example, fitting y=sin(x) + error, and the results very good, enough so that I'll certainly be investigating further with larger scale problems. I may try to use one of the existing packages, but it may be convenient to use the MPI package to distribute the training data, as I have a 32 core machine. If I come up with some interesting code, I'll post it here.
- [julia-users] deep learning for regression? michael . creel
- [julia-users] Re: deep learning for regression? Jason Eckstein
- [julia-users] Re: deep learning for regressio... michael . creel
- [julia-users] Re: deep learning for regre... Cedric St-Jean
- Re: [julia-users] Re: deep learning f... Christof Stocker
- [julia-users] Re: deep learning for regre... Jason Eckstein
- Re: [julia-users] Re: deep learning f... Tom Breloff
- [julia-users] Re: deep learning for regression? michael . creel
- [julia-users] Re: deep learning for regressio... Fabrizio Lacalandra
- [julia-users] Re: deep learning for regressio... Phil Tomson
- [julia-users] Re: deep learning for regression? michael . creel
- [julia-users] Re: deep learning for regressio... Cedric St-Jean