How Recurrent Neural Network (RNN) Works
Nov 5, 2020
If you know the basics of deep learning, you might be aware of the information flow from one layer to the other layer. Information is passing from layer 1 nodes to the layer 2 nodes likewise. But how about information is flowing in the layer 1 nodes itself. This is where recurrent neural network, in short, RNN architecture, came out.
Suppose we are building a model to predict the next coming word. How do you do that?
In this case, we need the previous word information of the prior state/node along with the input at the current layer node to generate the next coming word.
Originally published at https://dataaspirant.com on November 5, 2020.
