In this blog post, we’ll dive deep into the implementation of a character-level language model using a vanilla Recurrent Neural Network (RNN). This type of model can learn to generate text one character at a time, capturing the patterns and structure of the language it’s trained on. We’ll walk through...

This blog post contains my detailed implementation of Andrej Karpathy’s Neural Networks: Zero to Hero youtube lecture series & exercises in Jupyter Notebook. The articles go into extreme details to ensure a proper, robust fundamental understanding of neural networks. This lecture series covers neural networks (NNs) and how to...