7 Best PyTorch Books
Goal: Find the best PyTorch books according to the internet (not just one person's opinion).
Method:
- Search for "best pytorch books" and study the top 4+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
7 Best PyTorch Books
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Deep Learning with PyTorch
Build, Train, and Tune Neural Networks Using Python Tools
by Luca Antiga
Natural Language Processing with PyTorch
Build Intelligent Language Applications Using Deep Learning
by Delip Rao
Deep Learning for Coders with Fastai and PyTorch
AI Applications Without a PhD
by Jeremy Howard
Programming PyTorch for Deep Learning
Creating and Deploying Deep Learning Applications
by Ian Pointer
PyTorch 1.x Reinforcement Learning Cookbook
Over 60 Recipes to Design, Develop, and Deploy Self-Learning AI Models Using Python
by Yuxi Liu
PyTorch Pocket Reference
Building and Deploying Deep Learning Models
by Joe Papa
PyTorch Recipes
A Problem-Solution Approach to Build, Train and Deploy Neural Network Models
by Pradeepta Mishra
Sources
Edited by
Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.
Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.
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