Introduction to Deep Learning

Deep Learning (DL) has enjoyed a surge in popularity during the last decade. This is mainly owed to the fact that DL is computationally quite expensive and needs vast amounts of data to train useful models. Both, computational resources and large datasets have become more readily available in recent years, leading to breakthroughs in DL applications.

This course aims at interested participants from all domains, who have not yet jumped on the bandwagon of the DL trend.

The course will cover the basic principles of fully connected neural networks, convolutional neural networks (CNNs) for computer vision, recurrent neural networks (RNNs) for text or speech recognition, transfer learning to leverage pretrained models, and touch on large language models (LLMs) which have become all the rage in the past year.

Agenda & Content

See Agenda & Content in the left menu for a detailed timetable and course content.

Entry level

Basic – no prior DL knowledge is required

Prerequisites

Basic programming skills in Python          
Know how to work on the Linux command line

Target audience

Course for academia, industry, and public administration.

Course format

This course will be delivered as a LIVE ONLINE COURSE (using Zoom).

Hands-on labs

All participants will get a temporary user account on the VSC to do the hands-on labs.

You will use your own laptop or workstation to connect conveniently from your browser to the VSC Jupyterhub and do the hands-on exercises using the GPU nodes (A100 and/or A40) of the VSC.

Accepted participants will be contacted a few days before the course and asked to do a short PRE-ASSIGNMENT that has to be completed before the course starts.

Lecturer

Simeon Harrison (VSC Research Center, TU Wien and EuroCC Austria)

Language

English

Date, time, and location

21.–22.10.2024, 09:00 – 16:30 CEST, LIVE ONLINE COURSE (using Zoom)

Prices and eligibility

This course is partly funded by the EuroCC 2 project. Therefore, the course is open and free of charge for participants from academia, industry, and public administration from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.

Registration

The registration form and deadlines are available from the left menu. The registration form might close even before the deadline if the number of registrations has reached its maximum (and will open again if there are cancelations).

Please register with your official email address to prove your affiliation.

You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.

Following your successful registration, you will receive further information approximately 1 week before the course.

Waitinglist

After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).

To be able to do the hands-on labs on the VSC please provide your full international mobile-phone number for the two-factor authentication required to login to the VSC systems.

Modification, withdrawal & no-show policy

Your registration is binding. Please only register for the course if you are really going to attend.

You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").

Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@vsc.ac.at).

No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.

Organizers

This course is jointly organized by the VSC Research Center, TU Wien, and EuroCC Austria.

Acknowledgements

This course is partially funded by the EuroCC 2 project.

The project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, and Türkiye.

Additional funding for the project comes from the Austrian federal ministries BMBWF and BMK.