README.md

---
license: mit
datasets:
- MuzzammilShah/people-names
language:
- en
model_name: Manual Backpropagation through BatchNorm
library_name: pytorch
tags:
- makemore
- backpropagation
- batchnorm
- neural-networks
- andrej-karpathy
---

# Manual Backpropagation through BatchNorm: Makemore (Part 4)

This repository explores manual backpropagation through a 2-layer MLP (with BatchNorm) without using PyTorch autograd's loss.backward(). It involves manually backpropagating through the cross entropy loss, 2nd linear layer, tanh, batchnorm, 1st linear layer, and the embedding table.

## Documentation
For a better reading experience and detailed notes, visit my **[Road to GPT Documentation Site](https://muzzammilshah.github.io/Road-to-GPT/Makemore-part4/)**.

## Acknowledgments
Notes and implementations inspired by the **Makemore - Part 4** video by [Andrej Karpathy](https://karpathy.ai/).

For more of my projects, visit my [Portfolio Site](https://muhammedshah.com).