When Learning Hurts: Fixed-Pole RNN for Real-Time Online Training

Alexander Morgan, Ummay Sumaya Khan, Lingjia Liu +1

Recurrent neural networks (RNNs) can be interpreted as discrete-time state-space models, where the state evolution corresponds to an infinite-impulse-response (IIR) filtering opera…