Différences entre les versions de « Deep Learning Tutorial 2019 »
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<td width='20%' align='left'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td> | <td width='20%' align='left'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td> | ||
| − | <td width='20%'> | + | <td width='20%'> Syllabus </td> |
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<td width='20%'> [http://icube-web.unistra.fr/dsai/index.php?title=Deep_Learning_Tutorial_2019_installations Installations] </td> | <td width='20%'> [http://icube-web.unistra.fr/dsai/index.php?title=Deep_Learning_Tutorial_2019_installations Installations] </td> | ||
<td align='right' width='20%'> [http://camma.u-strasbg.fr/contact Contacts] </td> | <td align='right' width='20%'> [http://camma.u-strasbg.fr/contact Contacts] </td> | ||
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| − | + | <p>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. | |
| − | <p>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...</p> | 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...</p> | ||
| − | + | <p>The tutorial will be 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.</p> | |
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| + | <p> ICube researchers with interesting in deep learning are hereby encourage to join the tutorial by subscribing via the registration link. </p> | ||
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<tr><td colspan="5"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr> | <tr><td colspan="5"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr> | ||
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| − | <td colspan='3'> <big><big><b>News </b></big></big></td> | + | <td colspan='3'> <big><big><b>News </b></big></big> |
| + | * [06/06/2019] Deep learning tutorial website is up. | ||
| + | * [10/06/2019] Registration for the DSAI deep learning tutorial is open. | ||
| + | * <i>What's new?</i> | ||
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<td colspan='2'> <big><big><b>Contact us </b></big></big> | <td colspan='2'> <big><big><b>Contact us </b></big></big> | ||
| − | Email: [mailto:dltutorial.dsai@icube.unistra.fr | + | Email: [mailto:dltutorial.dsai@icube.unistra.fr dltutorialboard.dsai@icube.unistra.fr] |
<p>Send your questions to this email and we will get back to you.</p> | <p>Send your questions to this email and we will get back to you.</p> | ||
| + | All participants are encourage to subscribe to the group email, dltutorialparticipants2019.dsai@icube.unistra.fr, for updates and feedbacks: | ||
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| − | + | * recommended to use laptop otherwise collab may be use | |
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| − | * recommended to use laptop otherwise collab | ||
Version du 7 juin 2019 à 11:36
DSAI DEEP LEARNING TUTORIAL
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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 be 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.
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Participation Pre-requisite | |||||||||||||||||||||||||||||||||||||||||||||||||
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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:
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. |
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Date & Venue | |||||||||||||||||||||||||||||||||||||||||||||||||
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Date & Time: Venue: |
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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: | |||||||||||||||||||||||||||||||||||||||||||||||||
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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. |
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 Post-doc researcher University of Strasbourg. |
 Engineer University of Strasbourg. |
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General Information | |||||
News
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Contact us
Email: dltutorialboard.dsai@icube.unistra.fr Send your questions to this email and we will get back to you. All participants are encourage to subscribe to the group email, dltutorialparticipants2019.dsai@icube.unistra.fr, for updates and feedbacks: |
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correction:
- recommended to use laptop otherwise collab may be use