Dive into Deep Learning vs 
Hands-On Machine Learning
Dive into Deep Learning vs Hands-On Machine Learning compared for 2026 — features, license, ease of use, performance and which one to choose. The textbook where every equation is runnable vs The notebooks of the best-selling ML book.
Updated regularly · curated by OpenSourceAI.tech
Dive into Deep Learning vs Hands-On Machine Learning at a glance
| Spec | Dive into Deep Learning | Hands-On Machine Learning |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Interactive book | Book notebooks |
| License | CC-BY-SA-4.0 | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Jupyter |
| Ease of use | Intermediate | Intermediate |
| Best for | a rigorous foundation you can actually execute | the classic path from scikit-learn to deep learning |
| GitHub stars | 29.2k | — |
How Dive into Deep Learning and Hands-On Machine Learning score
| Criterion | Dive into Deep Learning | Hands-On Machine Learning |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 2.0 | n/a |
| Ease of use | 3.5 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 3.5 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Dive into Deep Learning
An open textbook used in 500+ universities: every concept comes with maths, runnable code and exercises, available for PyTorch, TensorFlow, JAX and MXNet.
- Adopted by 500+ universities worldwide
- Every equation has runnable code beside it
- Works with PyTorch, TensorFlow and JAX
Hands-On Machine Learning
Aurélien Géron's companion notebooks: scikit-learn for classical ML, then Keras and TensorFlow for deep learning — the reference practical ML book.
- The most widely used practical ML book
- Every chapter is a runnable notebook
- Covers classical ML properly, not just neural nets
Key differences
Dive into Deep Learning is interactive book, while Hands-On Machine Learning is book notebooks. Their licenses differ (CC-BY-SA-4.0 vs Apache-2.0), which matters if you ship a commercial product. In short, Dive into Deep Learning fits a rigorous foundation you can actually execute, and Hands-On Machine Learning fits the classic path from scikit-learn to deep learning.
Which should you choose?
Choose Dive into Deep Learning for a rigorous foundation you can actually execute. Choose Hands-On Machine Learning for the classic path from scikit-learn to deep learning.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Dive into Deep Learning or Hands-On Machine Learning easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Dive into Deep Learning and Hands-On Machine Learning free?
Dive into Deep Learning is free and open source (CC-BY-SA-4.0), and Hands-On Machine Learning is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Dive into Deep Learning and Hands-On Machine Learning locally?
Dive into Deep Learning: yes · Hands-On Machine Learning: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Dive into Deep Learning vs Hands-On Machine Learning — which should I pick in 2026?
Choose Dive into Deep Learning for a rigorous foundation you can actually execute. Choose Hands-On Machine Learning for the classic path from scikit-learn to deep learning.
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