Aim

To study and implement a vanilla Recurrent Neural Network (RNN) for sequence modeling by training a simple character-level language model on a small excerpt of the Tiny Shakespeare dataset, and to understand sequence unrolling and hidden-state evolution through interactive visualization for a short sample sequence.