Participants will learn how to extract information from experimental data using neural networks. We will start from simple feed-forward neural networks to do basic classification tasks and move on to convolutional networks for detecting certain phenomena, finishing with generative neural networks and their use in parameter space augmentation and exploration.
The participants are required to bring their laptops, we will work in the Google collab workspace.
