PyTorch guides

Learn the ideas.
Return when needed.

Each guide has a short visual review here and two connected, detailed pages in the PyTorch library. Only guides with useful material appear.

Published guide
PyTorch Fundamentals

From tensors to a complete image model.

Follow how data becomes a batch, how a model creates logits, how loss changes parameters, how a CNN reads images, and how validation reveals whether the result generalizes.

  • tensors
  • Dataset
  • training
  • evaluation
  • CNNs
  • projects
Open the short guide Open the detailed guide ↗
Conceptual PyTorch cycle from a batch through model, loss, gradients, and an optimizer update

This page is an index, not a progress tracker. Additional PyTorch guides will be added only after their explanations and runnable examples are ready.