ckaraneen/micrograduate
📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻
This course helps aspiring machine learning practitioners understand the fundamental concepts behind neural networks, from basic backpropagation to advanced Generative Pre-trained Transformers (GPTs). It provides educational content and interactive coding exercises (notebooks) that walk you through building these models from scratch. Anyone interested in learning the core mechanics of modern AI models, particularly those with some coding familiarity, would find this beneficial.
Use this if you want to learn the foundational principles of neural networks and large language models by building them yourself, rather than just using existing libraries.
Not ideal if you're looking for a tool to apply pre-built AI models to solve immediate business problems or if you prefer a non-technical overview of AI concepts.
Stars
13
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
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