Thank you.  This just sets the learning rate generically for all layers.  I use this call already to change the learning rate for all layers from epoch to epoch.  However, I need certain layers to have a different learning rate.  I’m porting models from caffe and they seem to be very sensitive to this.  In caffe, it was a per layer learning rate multiplier, mentioned in the post that I linked to.  In python you can send in parameters for each layer, I cannot figure out how to create that same functionality in c++.