This article describe about Recurrent Neural Network, which is the network contains at least one feed-back connection, so the activations can flow round in a loop. It creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Recurrent Neural Networks are in fact recursive neural networks with a particular structure: that of a linear chain. It can appear as nonlinear versions of finite impulse response and infinite impulse response filters and also as a nonlinear autoregressive exogenous model (NARX).
Recurrent Neural Network
