Recurrent Neural Networks – Towards Data Science

Recurrent Neural Networks (RNNs) add an interesting twist to basic neural networks. A vanilla neural network takes in a fixed size vector as input which limits its usage in situations that involve a'series' type input with no predetermined size. RNNs are designed to take a series of input with no predetermined limit on size. One could ask what's the big deal, I can call a regular NN repeatedly too? Sure can, but the'series' part of the input means something.