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:
- Torch Tensors
- Autograd
- Modules and Data
- Optimization & Regularization
- Convolutional Neural Networks
- Intro to mlr3torch (and mlr3 recap)
- Training Efficiency
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.