README.md

---
license: mit
datasets:
- MuzzammilShah/people-names
language:
- en
model_name: Deep MLP with WaveNet-inspired Architecture
library_name: pytorch
tags:
- makemore
- wavenet
- convolutional-neural-network
- deep-learning
- andrej-karpathy
---

# Deep MLP with WaveNet-inspired Architecture: Makemore (Part 5)

This repository builds upon the 2-layer MLP from previous implementations, making it deeper with a tree-like structure, leading to a convolutional neural network architecture inspired by the WaveNet (2016) from DeepMind.

## Overview
- This hierarchical architecture is implemented efficiently using causal dilated convolutions (not yet covered).
- The project explores `torch.nn` and its functionality, providing insights into deep learning development processes.

## Documentation
For a better reading experience and detailed notes, visit my **[Road to GPT Documentation Site](https://muzzammilshah.github.io/Road-to-GPT/Makemore-part5/)**.

## Acknowledgments
Notes and implementations inspired by the **Makemore - Part 5** video by [Andrej Karpathy](https://karpathy.ai/).

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