Neural Networks: Zero to Hero vs 
ML Interviews Book
Neural Networks: Zero to Hero vs ML Interviews Book compared for 2026 — features, license, ease of use, performance and which one to choose. Karpathy builds backprop, then GPT, from scratch vs What ML interviews actually ask.
Updated regularly · curated by OpenSourceAI.tech
Neural Networks: Zero to Hero vs ML Interviews Book at a glance
| Spec | Neural Networks: Zero to Hero | ML Interviews Book |
|---|---|---|
| Category | Learn AI & machine learning | Learn AI & machine learning |
| Type | Video course + code | Book |
| License | MIT | Custom (free to read) |
| Runs locally | Yes | Yes |
| Primary language | Jupyter | Markdown |
| Ease of use | Intermediate | Intermediate |
| Best for | the single best way to truly understand deep learning | preparing for an ML role, or checking your gaps |
| GitHub stars | — | — |
How Neural Networks: Zero to Hero and ML Interviews Book score
| Criterion | Neural Networks: Zero to Hero | ML Interviews Book |
|---|---|---|
| Popularity | n/a | n/a |
| Maintenance | n/a | n/a |
| Ease of use | 3.5 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 3.5 |
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
Neural Networks: Zero to Hero
Andrej Karpathy's legendary lecture series: you build automatic differentiation, then a language model, then GPT — writing every line yourself, with nothing hidden.
- Widely considered the best deep learning teaching ever made
- You implement backpropagation yourself — it finally clicks
- Ends with a working GPT you wrote line by line
ML Interviews Book
Chip Huyen's open book on machine learning interviews: the questions companies really ask, why they ask them, and how to think about the answers.
- Real questions from real companies
- Explains the reasoning, not just the answer
- Doubles as a checklist of what you should know
Key differences
Neural Networks: Zero to Hero is video course + code, while ML Interviews Book is book. Their licenses differ (MIT vs Custom (free to read)), which matters if you ship a commercial product. In short, Neural Networks: Zero to Hero fits the single best way to truly understand deep learning, and ML Interviews Book fits preparing for an ML role, or checking your gaps.
Which should you choose?
Choose Neural Networks: Zero to Hero for the single best way to truly understand deep learning. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.
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 Neural Networks: Zero to Hero or ML Interviews Book easier to use?
Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.
Are Neural Networks: Zero to Hero and ML Interviews Book free?
Neural Networks: Zero to Hero is free and open source (MIT), and ML Interviews Book is free and open source (Custom (free to read)). Neither charges for the core software.
Can I run Neural Networks: Zero to Hero and ML Interviews Book locally?
Neural Networks: Zero to Hero: yes · ML Interviews Book: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Neural Networks: Zero to Hero vs ML Interviews Book — which should I pick in 2026?
Choose Neural Networks: Zero to Hero for the single best way to truly understand deep learning. Choose ML Interviews Book for preparing for an ML role, or checking your gaps.
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