Différences entre les versions de « Deep Learning Tutorial 2019 »
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<p><b>Venue:</b><br> Forum (Amphitheater 301-302), 4 rue Kirschleger, Faculté de Médecine, Strasbourg</p> | <p><b>Venue:</b><br> Forum (Amphitheater 301-302), 4 rue Kirschleger, Faculté de Médecine, Strasbourg</p> | ||
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Version du 4 juin 2019 à 17:07
DSAI DEEP LEARNING TUTORIAL
Pre-registeration survey | Registration | Syllables | Requirements | Installation package | Download dataset | Contact us |
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..] |
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Date & Venue | ||
Date & Time: Venue: |
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Syllables | ||
The courses will run for 2 days. Participants will be able to freely choose the courses they wish to attend. | Day 1 | Day 2 |
Speakers | |||||||||||||||||||
Professor University of Strasbourg. |
PhD Student University of Strasbourg. |
PhD Student University of Strasbourg. |
Research Engineer ICube Laboratory. |
PhD Student University of Strasbourg. |
Professor University of Strasbourg. |
General Information | ||
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