Deep Learning Tutorial 2019

DSAI DEEP LEARNING TUTORIAL

Registration

syllabus

Packages

Installations

Contacts

---

Registration deadline: July 7, 2019

Scope
DSAI DL 2019 is a research tutorial event with a global scope aiming at introducing the participants to the basic concepts in the critical and fast developing area of deep learning. As part of the programs of the Data science and artificial intelligence (DSAI) research axis in ICube, the tutorial will help to prepare the participants with more efficient methods to deal with large-scale data in healthcare, computer vision, robotics, etc. Our foremost academics and PhD students will lecture and provide hands on practicals with the audience. Another intro... The DSAI research axis of ICube offers a two-day tutorial targeting researchers from all scientific backgrounds interested in 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...
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 attend to this.
Date & Venue
Date & Time: September 26 - 27, 2019, 9am-5pm 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 High performance computing Tong Yu	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 Introduction to Keras Thomas Lampert 16:00-16:15 Coffee Break 16:15-17:30 Generative Adversarial Network Thomas Lampert

---

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			Contact us Email: dltutorial.dsai@icube.unistra.fr Send your questions to this email and we will get back to you.

correction:

• date and time to fix installations
• Intro writing
• jupyter notebooks
• experiment fundamental
• recommended to use laptop otherwise collab will be use