Cover of Deep Learning with PyTorch

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.

7.5 score
#287 overall

Score based on developer article recommendations — not sales data or reviews.

Machine LearningPythonAI / MLdeep-learningmlops
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🟢 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.
Developer signal: Overwhelming Consensus · 100% 3 analyzed mentions Beginner FriendlyPracticalCareer Changing

🔄 Compare & Reading Path

📊 Why Developers Recommend

1.

It provides comprehensive guidance for AI engineering.

2.

Referenced by multiple developers, suggesting consistent practical value.

3.

Valued as an accessible entry point for newcomers, building confidence through clear explanations and gradual progression.

Top signals: Beginner FriendlyPracticalCareer Changing

💬 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

Difficulty: Beginner-friendly Style: Practical

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Convert Tensorflow to Pytorch Model. in 2025?
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How to Prune Networks in Pytorch in 2025?
● DEVby anna_golubkova· Oct 12, 2025
15 PyTorch Books You Have to Read
● DEVby heshanfu· Oct 18, 2019

Score Trend

Last 90 Days

Articles

0

vs prev 90d

+3

Unique authors

3

Total mentions

3

Source Platforms

DEV 3
📰 About this signal · 3 analyzed mentions · Mostly Medium confidence

Article Types

Book List 3

Confidence

Medium 2
High 1
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