Différences entre les versions de « Deep Learning Tutorial 2019 »
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| − | [[Image:Deeplearn.jpeg| | + | <tr><td colspan="2"><br /><br /><big> <big>'''Scope'''</big> </big></td></tr> |
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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. <br> 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> [[Image:Deeplearn.jpeg|500x300 px|right|link=CAMMA]] </td> | ||
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| − | <p><b>Date & Time:</b> Tuesday, December 11, 2018, 9am-5pm</p> | + | <tr><td colspan="2"><br /><br /><big> <big>'''Date & Venue'''</big> </big></td></tr> |
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| + | <td> [[Image:icube.jpg|500x500 px|left|link=ICube]] </td> | ||
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| + | <p><b>Date & Time:</b> Tuesday, December 11, 2018, 9am-5pm</p> | ||
| + | <p><b>Venue:</b> Forum (Amphitheater 301-302), 4 rue Kirschleger, Faculté de Médecine, Strasbourg</p> | ||
| + | </td> | ||
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| + | <tr><td colspan="2"><br /><br /><big> <big>'''Syllables'''</big> </big></td></tr> | ||
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| + | <td> Syllables </td> | ||
| + | <td> Contact us </td> | ||
| + | </tr> | ||
| + | </table> | ||
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Version du 4 juin 2019 à 15:39
DSAI DEEP LEARNING TUTORIAL
| Pre-registeration survey | Registration | Syllables | Requirements | Installation package | Download dataset | Contact us |
Scope | |
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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. |
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Date & Venue | |
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Date & Time: Tuesday, December 11, 2018, 9am-5pm Venue: Forum (Amphitheater 301-302), 4 rue Kirschleger, Faculté de Médecine, Strasbourg |
Syllables | |
| Syllables | Contact us |
Speakers
- Nicolas Padoy
- Tong Yu Nicolas