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| | <center><h1><br />'''DSAI DEEP LEARNING TUTORIAL'''<br /><br /></h1></center> | | <center><h1><br />'''DSAI DEEP LEARNING TUTORIAL'''<br /><br /></h1></center> |
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| − | <table style='width:100%;' > | + | <table style='width:100%; font-size:130%' > |
| | <tr align='center'> | | <tr align='center'> |
| − | <td align='left' width='15%'> Pre-registeration survey </td>
| + | <td width='20%'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td> |
| − | <td width='15%'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td> | + | <td width='20%'> syllabus </td> |
| − | <td width='15%'> Syllables </td> | + | <td width='20%'> [https://icube-forge.unistra.fr/CAMMA/misc/dsai_dl_tutorial Installation package] </td> |
| − | <td width='15%'> [https://icube-forge.unistra.fr/CAMMA/misc/dsai_dl_tutorial Installation package] </td> | + | <td width='20%'> [http://camma.u-strasbg.fr/datasets Download dataset] </td> |
| − | <td width='15%'> [http://camma.u-strasbg.fr/datasets Download dataset] </td> | + | <td align='right' width='20%'> [http://camma.u-strasbg.fr/contact Contact us] </td> |
| − | <td align='right' width='15%'> [http://camma.u-strasbg.fr/contact Contact us] </td> | |
| | </tr> | | </tr> |
| | </table><hr /><br /> | | </table><hr /><br /> |
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| | <center><div align="center" style="border:2px solid black; background:#fef6e7; color:blue; align:center; width:30%" > Registration deadline: June 20, 2019</div></center> | | <center><div align="center" style="border:2px solid black; background:#fef6e7; color:blue; align:center; width:30%" > Registration deadline: June 20, 2019</div></center> |
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| − | <table style='width:100%' style="border-spacing:15px;"> | + | <table style="width:100%; border-spacing:15px; font-size:110%"> |
| | <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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| − | <td colspan="2" align='justify'>
| + | <td colspan="3" style="">DSAI DL 2019 will be a research tutorial event with a global scope aiming at introducing the participants about the basic concepts in the critical and fast developing area of deep learning. A part of the events of the Data science and artificial intelligence (DSAI) research axis in ICube, the tutorial will help prepare the participants with more efficient to deal with large-scale data in healthcare, computer vision, human-computer interaction, robotics, etc. |
| − | <p>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. </p><br><p> 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..] </p><br><p> 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..] </p>
| + | [[Image:Deeplearn.jpeg|frame|left|Artificial Intelligence]] |
| − | <p align='center'> <br>Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..] <br><br></p>
| + | Renowned academics and PhD students will lecture and provide hands on practicals with the audience. |
| − | </td>
| + | </td> |
| − | <td width='30%' > <gallery mode="packed-hover" heights="200">
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| − | File:Deeplearn.jpeg|''[[Artificial Intelligence]]''
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| − | File:Deep.png|''[[Deep Learning]]''
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| − | </gallery>
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| − | </td>
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| − | </tr>
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| − | <tr><td colspan="3"><br /><br /><big> <big>'''Date & Venue'''</big> </big></td></tr>
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| − | <tr style="border: 2px solid black; background: #F5F5F5;">
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| − | <td> {{Google maps|url=https://goo.gl/maps/nPn3vPNWmMCcDAGD7 |title= |access-date=15 May 2019}} </td>
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| − | <p><b>Date & Time:</b><br> September 11-12, 2019, 9am-5pm</p><br><br>
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| − | <p><b>Venue:</b><br> ICube Laboratory (A301 - Amphi, C218), 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden</p>
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| − | </td>
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| − | <td><gallery mode="packed-hover" heights="300">
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| − | Image:icube.jpg|''[[ICube Laboratory]]''
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| − | </gallery> </td>
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| − | </tr>
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| − | <tr><td colspan="3"><br /><br /><big> <big>'''Syllables'''</big> </big></td></tr>
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| − | <tr style="border: 2px solid black; background: #ffffff;">
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| − | <td> <big> The courses will run for 2 days. Participants will be able to freely choose the courses they wish to attend. </big> <p> A complete syllable can be accessed via link on the menu bar.</p></td>
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| − | <td> Day 1 </td>
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| − | <td> Day 2 </td>
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| | </tr> | | </tr> |
| | + | <tr><td></td><td></td><td></td></tr> |
| | </table> | | </table> |
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| − | <table style='width:100% > | + | <p style="line-height: 1.5;"></p><br> |
| − | <tr><td colspan="2"><br /><br /><big> <big>'''Speakers'''</big> </big></td></tr>
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| − | <tr style="border: 2% solid black; background: #F5F5F5;">
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| − | <td> [[Image:NP.jpg|128px|center|link=Nicolas Padoy]] <center><b>Nicolas Padoy</b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td>
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| − | <td><td>
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| − | <td> [[Image:Tong.jpg|150px|center|link=Tong]] <center><b>Tong Yu </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td>
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| − | <td> [[Image:Chinedu.jpg|150px|center|link=Chinedu]] <center><b>Chinedu Nwoye </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td>
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| − | <td> [[Image:Armine.jpg|130px|center|link=Armine]] <center><b>Armine Vardazaryan </b> <br /> <i>Research Engineer<br /> ICube Laboratory. </i></center> </td>
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| − | <td> [[Image:Vinkle.png|130px|center|link=Vinkle]] <center><b>Vinkle Kumar Srivasta </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td>
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| − | <td> [[Image:Thomas.jpg|thumb|Thomas Lampert|center|link=Thomas]] <center><b> Thomas Lampert </b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td>
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| − | <td> [[Image:Thomas.jpg|thumb|HPC guy |center|link=Thomas]] <center><b> HPC representative </b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td>
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| − | </tr>
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| − | </table>
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| − | <table style='width:100%' >
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| − | <tr><td colspan="3"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr>
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| − | <tr style="border: 2% solid black; background: #EEF5F5;">
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| − | <td> Info </td>
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| − | <td> News </td>
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| − | <td> Contact us </td>
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| − | </tr>
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| − | </table>
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| − | <hr />
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| − | == Participatory Requirements ==
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