Deep Learning with (mlr3)torch in R 🔥

Overview 📖

This is a course, containing seven tutorials and corresponding exercises with solutions on torch and mlr3torch.

The seven topics are:

  1. Torch Tensors
  2. Autograd
  3. Modules and Data
  4. Optimizers
  5. Intro to mlr3torch (and mlr3 recap)
  6. Training Efficiency
  7. Use Case (WIP)

Contributing

After editing the content, e.g. in the notebooks folder, run quarto render to render the website. This will render the website into the docs/ folder. Upon pushing the changes to GitHub, the content of the docs/ folder is automatically deployed to GitHub Pages.

Credit

Some of the content is based on the book Deep Learning and Scientific Computing with R torch by Sigrid Keydana. This course has been funded by Essential Data Science Training.