Added feature to allow different learning rates per layer in the NN #143
+18
−1
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Added feature to allow different learning rates per layer in the NN. This feature is useful for transfer learning where you pre-training parts of the NN and then fine-tuning additional layers on top. The learning rates should be higher for the new layers and lower for the pre-trained layers. This is similar to what was done here: http://caffe.berkeleyvision.org/gathered/examples/finetune_flickr_style.html
By default the nn.learningRatePerLayer=[] and this will not cause an error in the default case as I check to see if its empty. The changes are very simple and straight forward.