This is a short tutorial that aims to illustrate the basics of PyTorch, automatic differentiation and common caveats with those. It also touches on DeepInverse library for imaging with PyTorch and provides some suggestions for further reading.
You can run the notebooks for the tutorial on Google Colab using the following links:
Alternatively, you can run the notebooks locally provided you have PyTorch, and Matplotlib Python packages installed.