PyTorch Tutorials
by PyTorch (Linux Foundation)
Learn the deep-learning framework the research world runs on, starting with the 60-Minute Blitz.
Overview
PyTorch is the dominant framework for deep-learning research and much of production. Its official tutorials range from the famous 60-Minute Blitz (tensors, autograd, and training a classifier) through building neural networks, transfer learning, NLP, and deployment. Because nearly every modern model and library (Transformers, PEFT, TRL) is built on PyTorch, these tutorials are foundational for going deeper.
At a Glance
- Topic
- Frameworks
- Level
- Beginner
- Format
- Tutorial
- Cost
- Free
- Duration
- Self-paced
- Provider
- PyTorch (Linux Foundation)
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Tensors and automatic differentiation (autograd)
- ✓Building and training neural networks
- ✓Transfer learning and common workflows
- ✓Saving, loading, and deploying models
Highlights
- •The framework most research is written in
- •Beginner-to-advanced coverage, official and current
Who It’s For
Best For
- ✓Anyone learning deep learning at the code level
Prerequisites
- •Python
FAQ
What is PyTorch Tutorials?
Official PyTorch tutorials, from the beginner 'Deep Learning with PyTorch: A 60 Minute Blitz' to advanced topics.
Is PyTorch Tutorials free?
PyTorch Tutorials is free to access.
What level is PyTorch Tutorials for?
PyTorch Tutorials is aimed at a beginner audience. Recommended background: Python.
How long does PyTorch Tutorials take?
Expect roughly Self-paced. Most learners work through it at their own pace.
What will I learn from PyTorch Tutorials?
You'll learn: Tensors and automatic differentiation (autograd); Building and training neural networks; Transfer learning and common workflows; Saving, loading, and deploying models.