Inspired by the success of the gating mechanism of LSTM and the residual connecting mechanism with enhanced information flow of ResNet, we further propose two Gated Residual Recurrent models leveraging the strengths of the two mechanisms.
when it comes to sequence classification, the scenario is quite different in that there is a new input at every time step.