Mar 20 – 22, 2023
ETH Zurich
Europe/Zurich timezone

Deep learning tutorial

Mar 20, 2023, 4:15 PM
45m
HIT E 51 (ETH Zurich)

HIT E 51

ETH Zurich

Hönggerberg campus 8093 Zurich Switzerland

Speaker

Dr Saul Alonso Monsalve (ETH Zurich)

Description

In this tutorial, you'll learn how to use deep learning to perform particle identification. We'll cover the basics of neural networks and how to build them using Python and TensorFlow. Participants will train their own neural networks using a dataset of particle tracks, and learn how to evaluate their performance. To participate, you'll need a Google account for Google Colab.

Prerequisites:

No prior experience with deep learning is required, but some familiarity with Python programming is recommended.

Materials needed:

A laptop computer with internet access and a Google account. Participants should open the notebook deep_learning_tutorial.ipynb on Google Colab from the following Github project: https://github.com/saulam/IPA-ML.

Presentation materials

There are no materials yet.