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hadrienj/deepLearningBook-Notes resource

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016) observed · 2026-08-28

github.com/hadrienj/deepLearningBook-Notes · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3265
  • days_rel: n/a
  • days_push: 2308
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1782 stars · 562 forks observed · 2026-08-28

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

A collection of Jupyter Notebook notes with Python code, illustrations, and intuitions covering the linear algebra chapter of the Deep Learning Book by Goodfellow, Bengio, and Courville. It is aimed at beginners who want to understand the math underlying machine learning and deep learning.

Use cases

  • learn linear algebra for deep learning
  • understand matrices as linear transformations
  • study eigendecomposition and SVD with Python code
  • find beginner-friendly notes on the Deep Learning Book chapter 2
  • build math foundations for data science
  • visualize linear algebra concepts with plots

When to choose

  • you are a beginner or advanced beginner wanting intuitive explanations of linear algebra for ML
  • you prefer learning through code, examples, and drawings rather than pure definitions
  • you want a structured syllabus following the Deep Learning Book's linear algebra chapter

When to avoid

  • you need a comprehensive treatment of the entire Deep Learning Book beyond chapter 2
  • you want a rigorous, formal math textbook rather than intuitive notes
  • you need actively maintained or updated course material

Facets

learning-resource · maturity maintenance

machine-learning math data-science deep-learning machine-learning mathematics tutorials data-science python cross-platform jupyter-notebooks linear-algebra deep-learning-book educational svd eigendecomposition

2 sources

Member repositories

RepositoryRoleHealth v2
hadrienj/deepLearningBook-Notesmain32

For agents

markdown · JSON · MCP: product_card(name="hadrienj/deepLearningBook-Notes")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem