Workshop in deep learning application for HEP

7 Aug 2023, 08:00 → 10 Aug 2023, 12:00 Europe/Zurich

40/S2-A01 - Salle Anderson (CERN)

Mohammed Mahmoud Mohammed

The primary objective of the Workshop on Deep Learning and its Applications was to acquaint students with the fascinating industrial-research applications of feature engineering and machine learning techniques used in deep learning. The workshop commenced with an overview of the fundamentals of Machine Learning and Neural Networks. The resource persons provided a smooth and concise introduction to the essential preliminary concepts. The workshop covered several critical topics, such as Convolutional Neural Nets, Recurrent Neural Nets, Autoencoders, and Restricted Boltzmann Machines.

Monday 7 August

1 Introduction to Supervised and Unsupervised Machine Learning

Speaker: El Sayed Abdelftah Tayel (ENHEP Egyptian Network of High Energy Physics (EG))

12:00 Lunch

2 Feed-Forward Neural Networks

Speaker: Abdurrahman Muhammed (Fayoum University (EG))

Tuesday 8 August

3 Bias and Variance in Neural Networks

Speaker: Mohammed Attia Mahmoud Mohammed (Fayoum University-Unknown-Unknown)

12:00 Lunch

4 Convolutional Neural Networks

Speaker: Dr Ahmed Hussein (Fayoum University (EG))

Wednesday 9 August

5 Recurrent Neural Networks

Speaker: Ahmad Ahmad (Fayoum University (EG))

12:00 Lunch

6 Generative Neural Networks

Thursday 10 August

7 Deep Learning and its Applications

Speaker: Mohammed Attia Mahmoud Mohammed (Fayoum University-Unknown-Unknown)

8 Modeling charged-particle multiplicity distributions at LHC

Speaker: Amr Radi (Sultan Qaboos University (OM))

9 Closed workshop