RNN is a form of neural network (NN) where the output from the previous step are fed as input to the current step through backpropagation. In other words, RNN is a more generalized feed-forward neural network that has an internal memory as it is designed to recognize a data’s sequential characteristics and use patterns to predict the next likely scenario based on what it has learned in the previous step