I have trained a regression network with
For deploy you only need to discard the loss layer, in your case the
"EuclideanLoss" layer. The output of your net is the
"bottom" you fed the loss layer.
"SoftmaxWithLoss" layer (and
"SigmoidCrossEntropy") you need to replace the loss layer, since the loss layer includes an extra layer inside it (for computational reasons).