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7 Best PyTorch Books

Goal: Find the best PyTorch books according to the internet (not just one person's opinion).

Method:

  1. Search for "best pytorch books" and study the top 4+ pages.
  2. Add only the books mentioned 2+ times.
  3. Rank the results neatly here.

7 Best PyTorch Books

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1

Deep Learning with PyTorch

Build, Train, and Tune Neural Networks Using Python Tools

by Luca Antiga

2

Natural Language Processing with PyTorch

Build Intelligent Language Applications Using Deep Learning

by Delip Rao

3

Deep Learning for Coders with Fastai and PyTorch

AI Applications Without a PhD

by Jeremy Howard

4

Programming PyTorch for Deep Learning

Creating and Deploying Deep Learning Applications

by Ian Pointer

5

PyTorch 1.x Reinforcement Learning Cookbook

Over 60 Recipes to Design, Develop, and Deploy Self-Learning AI Models Using Python

by Yuxi Liu

6

PyTorch Pocket Reference

Building and Deploying Deep Learning Models

by Joe Papa

7

PyTorch Recipes

A Problem-Solution Approach to Build, Train and Deploy Neural Network Models

by Pradeepta Mishra

Sources

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