Data Science and Artificial Intelligence

Deep Learning Tutorial 2019

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Registration Installations

Registration deadline: July 7, 2019 Closed


The Data science and artificial intelligence (DSAI) research axis of ICube offers a two-day tutorial targeting researchers from all scientific backgrounds interested in the fast developing area of deep learning from a practical standpoint.

The purpose of this event is to help participants build up the basic skillset necessary for understanding, training and running deep neural networks that may benefit their respective research activities. A wide array of topics will be covered with a heavily hands-on approach - from fundamental concepts and programming skills to state-of-the-art deep learning libraries and models - through a series of practicals, given by experienced PhD students and researchers.

The tutorial will introduce participants to the libraries using Jupyter notebooks and help researchers desiring to apply DSAI approaches to analyze their data, such as images, videos, text, etc. ICube researchers with interest in deep learning are hereby encouraged to join the tutorial by subscribing via the registration link.

Artificial Intelligence
Convolutional Neural Networks

Participation Pre-requisites
Participation is by registration. Limited space is available and the slots are given on a first come first serve basis.

In addition, a participant needs the following:

  • A laptop
  • Basic programming skill
  • Deep learning libraries installable via the Installations menu
  • Training dataset downloadable from the Installations menu

If you have hitches in accessing any file or completing the necessary installations before the program days, keep on watching this space, a date will be announced later to resolve all preparatory installation issues.

         Help session date: Thursady 26th September, 2019. Time: 8:30AM - 8:59AM

Date & Venue

Date :
Thursday 26th - Friday 27th September, 2019

Time :
9:00am - 5:30pm daily

Venue :
ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden
(Room C218).

Google map direction


The courses will run for 2 days. Participants will be able to attend both sessions. The detailed syllabus will be accessible via link on the menu bar. However, an abridge form is presented as follows:

Day 1 Day 2
Time Topic Speaker Time Topic Speaker
09:00 - 10:00 Introduction to deep learning concepts Nicolas Padoy 09:00 - 11:00 Introduction to TensorFlow Armine Vardazaryan
10:00 - 10:30 Coffee Break 11:00 - 11:30 Coffee Break
10:30 - 12:30 A primer on Python for deep learning Tong Yu 11:30 - 12:30 Inference with state-of-the-art models in TensorFlow (part 1) Chinedu Nwoye
12:30 - 14:00 Break/Lunch 12:30 - 14:00 Break/Lunch
14:00 - 16:00 Introduction to PyTorch Vinkle Srivastav 14:00 - 15:00 Inference with state-of-the-art models in TensorFlow (part 2) Chinedu Nwoye
16:00 - 16:30 Coffee Break 15:00 - 15:30 Coffee Break
16:30 - 17:30 Presentation of Unistra HPC Vincent Lucas 15:30 - 17:30 Generating images with GANs Thomas Lampert


General Information


  • [ 28/09/2019 ]: Tutorial ended successfully. Thanks for coming!.
  • [ 25/09/2019 ]: Links to download the codes, datasets, models and slides updated.
  • [ 05/09/2019 ]: Tutorial installation instructions uploaded.
  • [ 18/07/2019 ]: Tutorial registration is closed.
  • [ 12/06/2019 ]: Registration for the DSAI deep learning tutorial is open.
  • [ 06/06/2019 ]: Deep learning tutorial website is up.