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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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<td align='right' width='15%'> [http://camma.u-strasbg.fr/contact Contact us] </td> | <td align='right' width='15%'> [http://camma.u-strasbg.fr/contact Contact us] </td> | ||
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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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<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> | <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> | ||
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| − | <td width='30%'> < | + | <td width='30%' > <gallery mode="packed-hover" heights="200"> |
| − | + | File:Deeplearn.jpeg|''[[Artificial Intelligence]]'' | |
| − | </ | + | File:Deep.png|''[[Deep Learning]]'' |
| − | <p align='center'> <br> | + | </gallery> |
| + | <p align='center'> <br>Renowned academics and industry pioneers will lecture and share their views with the audience.[..dummy writing..] <br><br></p> | ||
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</tr> | </tr> | ||
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<tr><td colspan="3"><br /><br /><big> <big>'''Date & Venue'''</big> </big></td></tr> | <tr><td colspan="3"><br /><br /><big> <big>'''Date & Venue'''</big> </big></td></tr> | ||
<tr style="border: 2px solid black; background: #F5F5F5;"> | <tr style="border: 2px solid black; background: #F5F5F5;"> | ||
| − | <td> | + | <td> {gmap} Phillips Hall, Iowa City, IA {gmap} </td> |
<td align='center'> | <td align='center'> | ||
<p><b>Date & Time:</b><br> Tuesday, December 11, 2018, 9am-5pm</p><br><br> | <p><b>Date & Time:</b><br> Tuesday, December 11, 2018, 9am-5pm</p><br><br> | ||
<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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| − | <td> | + | <td><gallery mode="packed-hover" heights="300"> |
| + | Image:icube.jpg|''[[Artificial Intelligence]]'' | ||
| + | </gallery> </td> | ||
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<table style='width:100% > | <table style='width:100% > | ||
<tr><td colspan="2"><br /><br /><big> <big>'''Speakers'''</big> </big></td></tr> | <tr><td colspan="2"><br /><br /><big> <big>'''Speakers'''</big> </big></td></tr> | ||
| − | <tr style="border: | + | <tr style="border: 2% solid black; background: #F5F5F5;"> |
<td><td> | <td><td> | ||
| − | <td> [[Image:NP.jpg| | + | <td> [[Image:NP.jpg|thumb|center|link=Nicolas Padoy]] <center><b>Nicolas Padoy</b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Tong.jpg| | + | <td> [[Image:Tong.jpg|thumb|center|link=Tong]] <center><b>Tong Yu </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Chinedu.jpg| | + | <td> [[Image:Chinedu.jpg|thumb|center|link=Chinedu]] <center><b>Chinedu Nwoye </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Armine.jpg| | + | <td> [[Image:Armine.jpg|thumb|center|link=Armine]] <center><b>Armine Vardazaryan </b> <br /> <i>Research Engineer<br /> ICube Laboratory. </i></center> </td> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Vinkle.png| | + | <td> [[Image:Vinkle.png|thumb|center|link=Vinkle]] <center><b>Vinkle Kumar Srivasta </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Thomas.jpg|Thomas Lampert|center|link=Thomas]] <center><b> Thomas Lampert </b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td> | + | <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> |
<td><td> | <td><td> | ||
| − | <td> [[Image:Thomas.jpg|HPC guy |center|link=Thomas]] <center><b> HPC representative </b> <br /> <i>Professor<br /> University of Strasbourg. </i></center> </td> | + | <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> |
<td><td> | <td><td> | ||
</tr> | </tr> | ||
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<table style='width:100%' > | <table style='width:100%' > | ||
<tr><td colspan="3"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr> | <tr><td colspan="3"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr> | ||
| − | <tr style="border: | + | <tr style="border: 2% solid black; background: #EEF5F5;"> |
<td> Info </td> | <td> Info </td> | ||
<td> News </td> | <td> News </td> | ||
Version du 4 juin 2019 à 19:49
DSAI DEEP LEARNING TUTORIAL
| Pre-registeration survey | Registration | Syllables | Installation package | Download dataset | Contact us |
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..] |
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Date & Venue | ||
| {gmap} Phillips Hall, Iowa City, IA {gmap} |
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. A complete syllable can be accessed via link on the menu bar. |
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. |
Professor University of Strasbourg. |
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General Information | ||
| Info | News | Contact us |