adam-maj/deep-learning resource

Health v2 · maintenance only

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1575 stars · 124 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An educational repository tracing the full history of deep learning, from feed-forward networks to GPT-4o, organized around seven key constraints on AI progress. It pairs curated papers and notes with toy PyTorch implementations in Jupyter notebooks.

Use cases

• learn the history of deep learning innovations
• understand how transformers and GPT models evolved
• find key papers behind major deep learning milestones
• study toy PyTorch implementations of neural network architectures
• get an intuitive explanation of deep learning math and concepts
• prepare for deep learning interviews or coursework

When to choose

• you want a curated, narrative-driven tour of deep learning history
• you prefer concise explanations plus minimal code over full frameworks
• you want links to the original papers for each milestone

When to avoid

• you need production-ready model code or a maintained library
• you want comprehensive step-by-step tutorials with exercises
• you need a license-clear resource for redistribution, since no license is provided

Facets

learning-resource · maturity stable

deep-learning machine-learning llm-training deep-learning large-language-models tutorials artificial-intelligence python educational jupyter-notebooks pytorch history-of-ai papers neural-networks

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