What is the main difference between Elman, Hopfield & Hemming Recurrent Neural Networks?
Python Neurolab Library examples:
I properly understand the main difference of Hopfield Network:
The Hopfield network is of historic interest although it is not a general RNN, as it is not designed to process sequences of patterns. Instead it requires stationary inputs. It is a RNN in which all connections are symmetric. Wikipedia
But the other two is missing for me.