PyTorch
PyTorch is an open-source machine learning framework primarily used for deep learning applications like computer vision and natural language processing. It provides a flexible, Pythonic interface for building neural networks with automatic differentiation and GPU acceleration.
PyTorch has become the dominant framework for AI research and production at leading companies due to its dynamic computation graph, excellent debugging capabilities, and strong ecosystem. Companies building cutting-edge AI models prefer PyTorch for its flexibility in implementing novel architectures and seamless transition from research to deployment.
🎓 Courses
Deep Learning with PyTorch: Zero to GANs
by Aakash N S
This free course provides hands-on PyTorch fundamentals with practical projects including GANs.
Introduction to Deep Learning with PyTorch
by IBM Skills Network
Structured introduction to PyTorch covering tensors, autograd, and building neural networks.
Practical Deep Learning for Coders
by Jeremy Howard
Teaches practical PyTorch implementation for real-world deep learning applications.
PyTorch for Deep Learning
by Daniel Bourke
Comprehensive 25-hour course covering PyTorch fundamentals through building projects.
📖 Books
Deep Learning with PyTorch
Eli Stevens, Luca Antiga, Thomas Viehmann · 2023
This is the fully revised and updated second edition of the highly regarded 'Deep Learning with PyTorch' from Manning. It covers modern PyTorch (2.x) practices, including torch.compile, and is considered a foundational, hands-on guide for practitioners.
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Sebastian Raschka, Yuxi (Hayden) Liu, Dmytro Dzhulgakov · 2023
A comprehensive guide that bridges traditional machine learning (scikit-learn) and modern deep learning (PyTorch). Written by leading experts, it's a practical resource for building real-world models, updated for the latest libraries and best practices.
PyTorch Pocket Reference
Joe Papa · 2023
A concise, task-oriented reference book from O'Reilly for PyTorch 2.x. It's designed for quick look-ups of code patterns and APIs, making it a valuable companion for developers who need to implement PyTorch solutions efficiently.
🛠️ Tutorials & Guides
PyTorch Tutorials
Official tutorials covering everything from basics to advanced topics like quantization and deployment.
Learning PyTorch with Examples
Shows PyTorch concepts through practical examples comparing with NumPy implementations.
PyTorch Lightning Tutorials
Teaches professional PyTorch workflow using Lightning for scalable, production-ready code.
Hugging Face PyTorch Tutorials
Shows PyTorch implementation for modern NLP tasks using transformer architectures.
Learning resources last updated: April 13, 2026