Repository containing the notebooks used for the lecture on the Solar MHD 2024 meeting.
The notebook can be found here. It shows the application of principal component analysis (PCA) and k-means to real observed Hinode data. It also discusses the application of a simple neural network for regression, showing the main ingredients of how to train a neural network in PyTorch.
The notebook can be found here. It shows a much more elaborate application of neural networks to observations, focusing on using implicit neural representations or neural fields for the inference of physical properties from data.