Convolutional Neural Networks for Classification/Regression in Nuclear Physics

We will explore convolutional neural networks (CNN) architectures, detailing their structure with convolutional layers, and walk through the training and inference workflows. The focus will be on classification and regression tasks using intuitive NP datasets, such as calorimeter data, offering versatile examples for a wide range of applications