Deep Learning Tutorial 2019

DSAI DEEP LEARNING TUTORIAL

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Registration deadline: June 20, 2019

Scope
DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..] DSAI DL 2019 will be a research tutorial event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..] Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..]		Artificial Intelligence Deep Learning
Date & Venue
Modèle:Google maps	Date & Time: September 11-12, 2019, 9am-5pm Venue: ICube Laboratory (A301 - Amphi, C218), 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden	ICube Laboratory
Syllables
The courses will run for 2 days. Participants will be able to freely choose the courses they wish to attend. A complete syllable can be accessed via link on the menu bar.	Day 1	Day 2

Speakers

Nicolas Padoy Professor University of Strasbourg.

Tong Yu PhD Student University of Strasbourg.

Chinedu Nwoye PhD Student University of Strasbourg.

Armine Vardazaryan Research Engineer ICube Laboratory.

Vinkle Kumar Srivasta PhD Student University of Strasbourg.

Thomas Lampert Thomas Lampert Professor University of Strasbourg.

HPC guy HPC representative Professor University of Strasbourg.

General Information
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