Neural networks for particle physicists

by Andrey Popov (Université catholique de Louvain)

Thursday 5 Feb 2015, 14:00 → 16:00 Europe/Brussels

E/3rd floor-E.349 - Seminar room (E.349) (Marc de Hemptinne (chemin du Cyclotron, 2, Louvain-la-Neuve))

An introductory lecture on artificial neural networks will be given, followed by a hands-on tutorial. The lecture will present and explain main concepts in the field, with a strong bias towards applications in particle physics. A number of practical aspects will be discussed with a special attention. No prior knowledge on neural networks or multivariate analysis is required. For the tutorial session you will need a computer with Internet access and installation of a modern release of ROOT (together with TMVA as a part of it).

Instructions https://github.com/andrey-popov/TutorialNeuralNetworks/wiki

Slides 2015.02_UCL_Neural-networks_lecture.pdf