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Neural Networks to GPT: Zero to Hero
A course by CourseKit Editors
- 9 chapters
- 18 h 38 min
- 3 sections
About this course
Andrej Karpathy builds neural networks from scratch in code, one lecture at a time: backpropagation, language models, then a GPT and its tokenizer. Long and hands-on. Code along, and pause often. Comfortable Python and a little calculus help.
What鈥檚 inside
3 sections 路 9 chapters 路 18 h 38 min
Section 13 chapters 路 5 h 39 minBackprop and language modelsBuild micrograd, then your first character-level language models.
Neural Networks to GPT: Zero to Hero9 chapters 路 18 h 38 min
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