Différences entre les versions de « Deep Learning Tutorial 2019 »
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<center><div align="center" style="border:2px solid black; background:#fef6e7; color:blue; align:center; width:30%" > Registration deadline: July 27, 2019</div></center> | <center><div align="center" style="border:2px solid black; background:#fef6e7; color:blue; align:center; width:30%" > Registration deadline: July 27, 2019</div></center> | ||
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<tr><td colspan="3"><br /><br /><big> <big>'''Scope'''</big> </big></td></tr> | <tr><td colspan="3"><br /><br /><big> <big>'''Scope'''</big> </big></td></tr> | ||
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Version du 5 juin 2019 à 18:58
DSAI DEEP LEARNING TUTORIAL
| Registration | syllabus | Installation package | Download dataset | Contact us |
Scope | ||
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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. Renowned academics and PhD students will lecture and provide hands on practicals with the audience. |
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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. |
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Participation Pre-requisite | ||
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For a smooth training, a participant needs to have the following:
Participation is by registration. Limited space is available and the slot is given on a first come first serve basis. |
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Date & Venue | ||
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Date & Time: Venue: |
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Syllabus The courses will run for 2 days. Participants will be able to both sessions. A complete syllable can be accessed via link on the menu bar. | ||
Day 1
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Day 2
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Speakers | ||||||||||||||||||
 Professor University of Strasbourg. |
 PhD Student University of Strasbourg. |
 PhD Student University of Strasbourg. |
 Research Engineer ICube Laboratory. |
 PhD Student University of Strasbourg. |
 Post-doc researcher University of Strasbourg. |
 Engineer University of Strasbourg. |
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General Information | ||||||||||||||||||
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