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.
Acknowledgments
Notes and implementations inspired by the Makemore - Part 5 video by Andrej Karpathy.
For more of my projects, visit my Portfolio Site.
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