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deep:start [2021/01/18 15:13] – [Winter 2021 edition: IASD Master] edecencieredeep:start [2021/11/02 09:22] – [Fall 2021 edition: MINES ParisTech (MP1523/5)] edecenciere
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-===== Winter 2021 edition: IASD Master  =====+===== Fall 2021 edition: MINES ParisTech (MP1523/5) =====
  
-Lien vers les supports de cours[[https://frama.link/dlia_lectures]]+ 
 +=== Practical work === 
 + 
 +Link for lecturers and teaching assistants: 
 + 
 +https://docs.google.com/document/d/1GRvg8eWZNl3X1VJRdFpv1TVZdtJTP7KvSfEE0Dxipd8/edit 
 + 
 + 
 +Link to download practical sessions and course material: 
 + 
 +https://cloud.mines-paristech.fr/index.php/s/hTDBU5aZjijISmd
  
 === Timetable === === Timetable ===
  
-| Date  | Time  | Classroom | Lectures | Invited speaker + 
-13/01 8h30-11h45 Zoom      | Machine learning; artificial neural networks; convolutions neural networks I; ethical aspects +| Date  | Time  | Classroom | Teaching assistant 
-20/01 8h30-11h45 | Zoom     | Convolutional neural networks II | Vincent Morard +21/09 13h45 |  L-218     Tarek Zenati 
-27/01 8h30-11h45      | Optimization; fully convolution neural networks II | Bruno Figliuzzi +28/09 13h35 |  L-213     | Mateus Sangalli 
-03/02 8h30-11h45       | Network introspection and visualization ; object detection | Sébastien Lefèvre  | +05/10 13h45 |  L-118    Daniel Zyss 
-10/02 8h30-11h45       | DL in practice ; case study | Timothée Faucon |  +12/10 13h45 |  L-224     Valentin Penaud-Polge  | 
-17/02 8h30-11h45      | Reducing supervision | Claire-Hélène Demarty +20/10 | ** 9h00 **   L-109    Thomas Langrognet 
-03/03 |8h30-11h45       Advanced techniques I ; morphological layers | Diego Tuccillo +26/10 13h45 |   L-109   Martin Bauw 
-10/03 8h30-11h45       | Advanced techniques II | Martin Bauw and/or Valentin Penaud-Polge+02/11 13h45   L-109     
-| 17/03 | 9h-10h30 |       | Exam | |+9/11 13h45 |  L-218       
 +===== Winter 2020 edition: IASD Master  ===== 
 + 
 + 
  
 === Invited speakers === === Invited speakers ===
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   * Sébastien Lefèvre (IRISA) : Deep Learning in Remote Sensing: Challenges and Results   * Sébastien Lefèvre (IRISA) : Deep Learning in Remote Sensing: Challenges and Results
   * Claire-Hélène Demarty (InterDigital) : Deep Learning for post production in movie industry   * Claire-Hélène Demarty (InterDigital) : Deep Learning for post production in movie industry
-  * Timothée Faucon (aiVision)+  * Camille Breuil et Cédric Meurée (aiVision): L'aide au diagnostic chez aiVision: exemple de la rétinopathie diabétique
   * Diego Tuccillo (Instituto de Astrofisica de Canarias): Deep learning applications in Astronomy   * Diego Tuccillo (Instituto de Astrofisica de Canarias): Deep learning applications in Astronomy
   * Martin Bauw (CMM, Mines Paris): détection d'anomalies   * Martin Bauw (CMM, Mines Paris): détection d'anomalies
   * Valentin Penaud-Polge (CMM, Mines Paris): couches paramétriques   * Valentin Penaud-Polge (CMM, Mines Paris): couches paramétriques
 +
 +
 +
 +
  
  
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 https://tinyurl.com/y3x6andh https://tinyurl.com/y3x6andh
  
-=== Timetable === +===== Winter 2019 edition: IASD Master =====
- +
- +
-First lecture: september 22, 13h45, in classroom L118. +
- +
-| Date  | Time  | Classroom | +
-| 22/09 | 13h45 | L118      | +
-| 29/09 | 13h35 | L109      | +
-| 06/10 | 13h45 | L108     | +
-| 13/10 | 13h45 | V106A      | +
-| 20/10 | 13h45 | L224      | +
-| 27/10 | 13h45 | V106A     | +
-| 04/09 |** 9h  **  | V106A     | +
-| 10/09 | 13h45 | V334      | +
-===== Winter 2020 edition: IASD Master =====+
  
 __Teaching assistants__ __Teaching assistants__
deep/start.txt · Last modified: 2023/09/19 15:59 by edecenciere
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