Deep Learning Tutorial 2019

DSAI DEEP LEARNING TUTORIAL

Registration

Syllabus

Installations

Contacts

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Registration deadline: July 7, 2019

Scope
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 experiment fundamental using Jupyter notebook and help researchers desiring to apply DSAI approaches to analyze their data, such as images, videos, text, etc. As a contribution to the main objective of research axis DSAI, the tutorial will help to prepare the participants with more efficient methods to deal with large-scale data in healthcare, computer vision, robotics, environment, remote sensing, and factories of the future. ICube researchers with interesting in deep learning are hereby encourage to join the tutorial by subscribing via the registration link.
Participation Pre-requisite
Participation is by registration. Limited space is available and the slot is given on a first come first serve basis. In addition, a participant needs the following: A laptop Basic programming skill Install all the libraries via the Packages menu Download the training dataset from the Dataset 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.
Date & Venue
Date & Time: September 26 - 27, 2019, 9:00am-5:30pm daily Venue: ICube Laboratory, 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden (Room to be announced later.) Google map direction	ICube Laboratory
Program The courses will run for 2 days. Participants will be able to attend both sessions. The detailed syllabus can be accessed via link on the menu bar. However, an abridge form is presented as follows:
Day 1 Time Topic Speaker 09:00-10:15 Introduction to deep learning concepts Nicolas Padoy 10:15-10:30 Coffee Break 10:30-12:30 A primer on Python (basics) Tong Yu 12:30-14:00 Break/Lunch 14:00-16:00 Introduction to PyTorch Vinkle Srivastav 16:00-16:15 Coffee Break 16:15-17:30 Unistra HPC (to confirm) TBA	Day 2 Time Topic Speaker 09:00-10:15 Introduction to TensorFlow Armine Vardazaryan 10:15-10:30 Coffee Break 10:30-12:30 Deep learning applications ~ TensorFlow Chinedu Nwoye 12:30-14:00 Break/Lunch 14:00-16:00 TBA Thomas Lampert 16:00-16:15 Coffee Break 16:15-17:30 TBA Thomas Lampert

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Speakers
Nicolas Padoy Professor University of Strasbourg.	Chinedu Nwoye PhD Student University of Strasbourg.	Tong Yu PhD Student University of Strasbourg.	Armine Vardazaryan Research Engineer ICube Laboratory.	Vinkle Kumar Srivasta PhD Student University of Strasbourg.
Thomas Lampert Post-doc researcher University of Strasbourg.	HPC representative Engineer University of Strasbourg.
General Information
News [ 06/06/2019 ]: Deep learning tutorial website is up. [ 10/06/2019 ]: Registration for the DSAI deep learning tutorial is open. What's new?			Contact us Send your questions to this email and we will get back to you. Board Email: dltutorialboard.dsai@icube.unistra.fr All participants are encourage to subscribe to the group email for updates and feedback. Group email: dltutorialparticipants2019.dsai@icube.unistra.fr