A Gentle Introduction to RNN Unrolling - Machine Learning Mastery

Recurrent neural networks are a type of neural network where the outputs from previous time steps are fed as input to the current time step. This creates a network graph or circuit diagram with cycles, which can make it difficult to understand how information moves through the network. In this post, you will discover the concept of unrolling or unfolding recurrent neural networks. Recurrent neural networks are a type of neural network where outputs from previous time steps are taken as inputs for the current time step. We can demonstrate this with a picture.