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Neural Networks: Zero to Hero

★ 25K3,573 forksJupyter NotebookMITkarpathy

Andrej Karpathy's free video course with Jupyter notebooks that builds neural networks from scratch: micrograd autograd, makemore language models, a GPT transformer, and a BPE tokenizer.

Use Cases

Learn backpropagation by building microgradImplement character-level language models (makemore)Build GPT from scratchUnderstand tokenization by building minBPEStudy BatchNorm, residual connections, AdamUnderstand gradient flow in deep netsLearn language modeling fundamentalsPractice PyTorch tensor operations

Built With

Language
Jupyter Notebook
Frameworks
PyTorch · NumPy

Tags

neural networks · deep learning · backpropagation · GPT · transformer · tokenizer · PyTorch · micrograd · makemore · educational · video course · Jupyter Notebook · from scratch · language modeling