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Contents

Basics

  • QuickStart [File | Notebook] - QuickStart gives general overview of Basics section.
  • Tensors [File | Notebook] - Operations on tensors, numpy arrays and casting them to tensor or vice versa.
  • Datasets and DataLoaders [File | Notebook] - Creating datasets and dataloaders.
  • Transforms [File | Notebook] - Torchvision's augmentation methods and using them together.
  • Build Neural Network [File | Notebook] - Building simple neural network from scratch.
  • Optimizers, Model Save and Load [File | Notebook] - Creating optimizer, saving trained model and loading for inference.

Beginner

Intermediate

Advanced



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References

  1. https://github.com/pytorch/examples
  2. https://www.deeplearningwizard.com