Deep Learning with PyTorch
Eli Stevens, Luca Antiga, Thomas Viehmann
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail.
Score based on developer article recommendations — not sales data or reviews.
🟢 Developer Verdict
A practical guide to building, training, and tuning neural networks using PyTorch, covering both basics and advanced abstractions.
Read this if
- ✓ You want to learn deep learning specifically with PyTorch.
- ✓ You seek a detailed guide on PyTorch's abstractions and basics.
- ✓ You aim to build, train, and tune neural networks using Python.
Skip this for now if
- ✗ You prefer a deep learning framework other than PyTorch.
- ✗ You lack basic Python or machine learning understanding.
- ✗ You are looking for a high-level conceptual overview only.
🔄 Compare & Reading Path
📊 Why Developers Recommend
It provides comprehensive guidance for AI engineering.
Referenced by multiple developers, suggesting consistent practical value.
Valued as an accessible entry point for newcomers, building confidence through clear explanations and gradual progression.
💬 What Developers Say
"Deep Learning with PyTorch will make that journey engaging and fun."
— heshanfu · 15 PyTorch Books You Have to Read · Oct 18, 2019
"Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools"
— puratabla · Convert Tensorflow to Pytorch Model. in 2025? · Oct 12, 2025
"Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools"
— anna_golubkova · How to Prune Networks in Pytorch in 2025? · Oct 12, 2025
👤 Who Should Read This
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Eli Stevens, Luca Antiga, Thomas Viehmann
Mentioned in 4 articles · #205 overall
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15 PyTorch Books You Have to Read
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