patrickloeber/pytorchTutorial resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1953 stars · 1213 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of PyTorch beginner tutorial code examples accompanying Patrick Loeber's YouTube video series. It covers fundamentals from tensor basics and autograd through CNNs, transfer learning, and model saving.

Use cases

• learn pytorch from scratch
• understand autograd and backpropagation
• build a first neural network in pytorch
• learn how to use dataloader and datasets
• implement cnn image classification in pytorch
• learn transfer learning in pytorch
• save and load trained pytorch models

When to choose

• you are a beginner wanting structured, video-backed pytorch lessons
• you prefer learning by running small, self-contained example scripts
• you want a free curriculum covering core pytorch concepts end to end

When to avoid

• you need production-ready or maintained library code
• you want advanced topics like distributed training or LLMs
• you need up-to-date examples for the latest pytorch APIs

Facets

learning-resource · maturity maintenance

machine-learning deep-learning deep-learning machine-learning tutorials python pytorch tutorial youtube neural-networks beginner

Member repositories

For agents

markdown · JSON · MCP: product_card(name="patrickloeber/pytorchTutorial")