Data Science and Artificial Intelligence

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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 width='20%'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td>
 
       <td width='20%'> [https://docs.google.com/forms/d/1GLQCjtki4If7fRcnEHgUju8MS-Gz4GLwp6aGutdNuqc/edit?ts=5cf64e9b Registration] </td>
 
       <td width='20%'> syllabus </td>
 
       <td width='20%'> syllabus </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>
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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>
  
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   <tr><td colspan="3"><br /><br /><big> <big>'''Scope'''</big> </big></td></tr>
 
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      <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.  
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[[Image:Deeplearn.jpeg|frame|left|Artificial Intelligence]]
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          <p>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.</p><br />
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Renowned academics and PhD students will lecture and provide hands on practicals with the audience.
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          <p>Renowned academics and PhD students will lecture and provide hands on practicals with the audience.</p>
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          [[Image:Deeplearn.jpeg|frameless|500 px|right|Artificial Intelligence]]
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          <p>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.</p><br />
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          [[Image:Conv.jpg|frameless|500 px|right|Convolutional Neural Networks]]
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  <tr><td colspan="3"><hr /><br /><big> <big>'''Participation Pre-requisite'''</big> </big></td></tr>
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          <p>For a smooth training, a participant needs to have the following:         
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            <ul>
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                <li> A laptop</li>
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                <li> Basic programming skill</li>
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            </ul>
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          <i>Participation is by registration. Limited space is available and the slot is given on a first come first serve basis.</i>
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   <tr><td colspan="3"><br /><br /><big> <big>'''Date & Venue'''</big> </big></td></tr>
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        <p><b>Date & Time:</b><br> September 26 - 27, 2019, 9am-5pm daily</p><br><br>
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        <p><b>Venue:</b><br> ICube Laboratory (C218 - <i>tentative</i>), 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden</p>
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      </td>
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      <td><gallery mode="packed-hover" heights="300">Image:icube.jpg|''[[ICube Laboratory]]'' </gallery>  </td>
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  <tr><td colspan="3"><br /><br /><big> <big>'''Syllabus'''</big> </big>
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      <br><p> 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.</p>
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      <td colspan='2'> <h5>Day 1 </h5>
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* Introduction to deep learning
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* Basic python
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* PyTorch
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* HPC
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      </td>
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      <td> <h5>Day 2 </h5>
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# TensorFlow
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# TensorFlow Applications
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# GAN
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# Keras
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  <tr><td colspan="2"><br /><br /><big> <big>'''Speakers'''</big> </big></td></tr>
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      <td> [[Image:NP.jpg|141px|center|link=http://camma.u-strasbg.fr/npadoy]] <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:Chinedu.jpg|170px|center|link=Chinedu]] <center><b>Chinedu Nwoye </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td>
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      <td><td>
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      <td> [[Image:Tong.jpg|170px|center|link=Tong]] <center><b>Tong Yu </b> <br /> <i>PhD Student<br /> University of Strasbourg. </i></center> </td>
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      <td><td>
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      <td> [[Image:Armine.jpg|146px|center|link=Armine]] <center><b>Armine Vardazaryan </b> <br /> <i>Research Engineer<br /> ICube Laboratory. </i></center> </td>
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      <td><td>
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      <td> [[Image:Vinkle.png|146px|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><td>
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      <td> [[Image:Thomas.jpg|146px|center|Thomas Lampert|center|link=https://sites.google.com/site/tomalampert]] <center><b> Thomas Lampert </b> <br /> <i>Post-doc researcher<br /> University of Strasbourg. </i></center> </td>
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      <td><td>
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      <td> [[Image:hpc.jpg|181px|center|center|link=https://services-numeriques.unistra.fr/les-services-aux-usagers/hpc.html]] <center><b> HPC representative </b> <br /> <i>Engineer<br /> University of Strasbourg. </i></center> </td>
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  <tr><td colspan="3"><br /><br /><big> <big>'''General Information'''</big> </big></td></tr>
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      <td colspan='5'> News </td>
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      <td colspan='5'> Contact us </td>
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  </tr>
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Version du 5 juin 2019 à 18:53


DSAI DEEP LEARNING TUTORIAL

Registration syllabus Installation package Download dataset Contact us


Registration deadline: July 27, 2019


Scope

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.
Artificial Intelligence

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.
Convolutional Neural Networks

Participation Pre-requisite

For a smooth training, a participant needs to have the following:

  • A laptop
  • Basic programming skill
          Participation is by registration. Limited space is available and the slot is given on a first come first serve basis.



Date & Venue

Date & Time:
September 26 - 27, 2019, 9am-5pm daily



Venue:
ICube Laboratory (C218 - tentative), 300 Bd Sébastien Brant, 67400 Illkirch-Graffenstaden


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
  • Introduction to deep learning
  • Basic python
  • PyTorch
  • HPC
Day 2
  1. TensorFlow
  2. TensorFlow Applications
  3. GAN
  4. Keras





Speakers
NP.jpg
Nicolas Padoy
Professor
University of Strasbourg.
Chinedu.jpg
Chinedu Nwoye
PhD Student
University of Strasbourg.
Tong.jpg
Tong Yu
PhD Student
University of Strasbourg.
Armine.jpg
Armine Vardazaryan
Research Engineer
ICube Laboratory.
Vinkle.png
Vinkle Kumar Srivasta
PhD Student
University of Strasbourg.
Thomas Lampert
Thomas Lampert
Post-doc researcher
University of Strasbourg.
Hpc.jpg
HPC representative
Engineer
University of Strasbourg.


General Information
News Contact us
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