From what I can see it seems like RNNs favour using a backprop through time method which I haven't seen really applied to other neural networks.Can someone explain the significance of tying the weights and why it is necessary to be done for backprop  through time?
Is parameter tying more common in RNNs than in regular NNs?
machine learning;neural networks