Speaker
Lorenzo Moneta
(CERN)
Description
We will focus the lecture on artificial neural networks and deep learning. We will give a theoretical introduction to these machine learning methods presenting commonly
used architectures such as convolutional neural networks, recurrent network and generative adversarial networks.
In addition, we will provide examples how deep learning methods are currently used in High Energy physics experiments for physics event reconstruction,
and particle identification and we will discuss their potential future applications such as fast event simulation.