I am new to Deep Learning. My question was related to applying different learning rates to the learner. One of the code lines says:
Are we applying separate learning rates to hidden layers? I read about this in one of the other answers. It said something about group of layers, but I could not get a hang of it.
Does applying learning rates to all the layers mean we are re-training the entire CNN? If yes, won’t it reduce the accuracy of the model?