This repository contains the implementation of Backpropagation using an AutoGrad Engine, inspired by the Micrograd video by Andrej Karpathy. It explores the foundations of training neural networks and implementing key operations from scratch.
Overview
Manual Backpropagation: Building intuition and understanding of the gradient calculation process.
Implementation Notebooks: Step-by-step code for implementing and understanding backpropagation and related concepts.
💡 Pro Tip: This site provides an interactive and visually rich explanation of the notes and code. It is highly recommended you view this project from there.
Acknowledgments
Notes and implementations inspired by the Micrograd video by Andrej Karpathy.
