[julia-users] deep learning for regression?

[michael . creel]

I'm interested in using neural networks (deep learning) for multivariate 
multiple regression, with multiple real valued inputs and multiple real 
valued outputs. At the moment, the mocha.jl package looks very promising, 
but the examples seem to be all for classification problems. Does anyone 
have examples of use of mocha (or other deep learning packages for Julia) 
for regression problems? Or any tips for deep learning and regression?