A series of learning Neural Network from Zero to Hero under tutorial from Andrej Karpathy. I wrote in .qmd files instead of .ipynb (but there are .ipynb files for viewing in browser!).
Youtube tutorial link: https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
- The spelled-out intro to neural networks and backpropagation: building micrograd
- The spelled-out intro to language modeling: building makemore
- Building makemore Part 2: MLP
- Building makemore Part 3: Activations & Gradients, BatchNorm
- Building makemore Part 4: Becoming a Backprop Ninja
- Building makemore Part 5: Building a WaveNet
- Let's build GPT: from scratch, in code, spelled out.
- State of GPT | BRK216HFS
- Let's build the GPT Tokenizer
- Let's reproduce GPT-2 (124M)
- pdf:
quarto render folder\index.qmd --pdf
(not working well!) - ipynb:
quarto render folder\index.qmd --to jupyter