Teaching.Main History

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In june 2018, with R. Cancelliere, I gave a Deep Learning course at Università di Torino (16 hours)

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In June 2018, with R. Cancelliere, I gave a Deep Learning course at Università di Torino (16 hours)

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In june 2018, I gave a Deep Learning course at Università di Torino

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In june 2018, with R. Cancelliere, I gave a Deep Learning course at Università di Torino (16 hours)

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Introduction to Deep Learning

In june 2018, I gave a Deep Learning course at Università di Torino

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(comment: !!! The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

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 !!! The Birth, Death and Resurrection of Neural Networks:  From Neural Networks to Deep learning
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  1. !!! The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

This is a short historical description of the evolution of the domain

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(comment: !!! The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning This is a short historical description of the evolution of the domain :)

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The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

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  1. !!! The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning
January 25, 2018, at 09:18 AM by 132.227.207.246 -
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  • Transparents du cours 2016-2017
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  • Transparents du cours 2017-2018
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The Birth, Death and Resurrection of Neural Networks:From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks:**From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks:From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks:From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks:**From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks:From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

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The Birth, Death and Resurrection of Neural Networks

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From Neural Networks to Deep learning

The Birth, Death and Resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks: From Neural Networks to Deep learning

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Pattern recognition and Machine Learning, C. Bishop, Springer, 2006

Deep Learning, An MIT Press book, I. Goodfellow, Y. Bengio and A. Courville,

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  • Pattern recognition and Machine Learning, C. Bishop, Springer, 2006
  • Deep Learning, An MIT Press book, I. Goodfellow, Y. Bengio and A. Courville,
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Deux livres de référence pour le cours:

Pattern recognition and Machine Learning, C. Bishop, Springer, 2006

Deep Learning, An MIT Press book, I. Goodfellow, Y. Bengio and A. Courville,

Version pdf accessible : http://www.deeplearningbook.org/

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(:if false:)

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(:if false:)

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UPMC - Master DAC : DATA SCIENCE

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UPMC - Master Informatique - DAC : DATA SCIENCE et Master Math. spécialité BIG DATA

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(:ifend:)

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The Birth, Death and Resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks

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The birth, death and resurrection of Neural Networks

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The Birth, Death and Resurrection of Neural Networks

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The birth, death and resurrection of Neural Networks

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The birth, death and resurrection of Neural Networks

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The birth, death and resurrection of Neural Networks

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This is a short historical description of the evolotuin of the domain

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This is a short historical description of the evolution of the domain

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kkkkkkkk

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From Neural Networks to Deep learning

This is a short historical description of the evolotuin of the domain

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kkkkkkkk

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Recherche d'information / information retrieval

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Recherche d'information / information retrieval

  • Transparents du cours 2014-2015
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Note ces transparents sont mios progressivement au fur et à mesure qu'ils sont faits

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UPMC - IAD

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UPMC - Master DAC : DATA SCIENCE

MASTER DAC M2

Apprentissage statistique / machine learning

  • Transparents du cours 2014-2015

Note ces transparents sont mios progressivement au fur et à mesure qu'ils sont faits

Recherche d'information / information retrieval

UPMC - old master IAD

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  • >>> Les papiers qui vous sont attribués
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  • Attribution des articles 2013 >>> Les papiers qui vous sont attribués
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  • Attribution des articles 2011 >>> Les papiers qui vous sont attribués
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  • >>> Les papiers qui vous sont attribués
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  • Transparents du cours 2011 – 2012
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  • Transparents du cours 2012 – 2013
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  • Attribution des articles 2011 >>> Les papiers qui vous sont attribués
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  • Attribution des articles 2011 >>> Les papiers qui vous sont attribués
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2ème année (M2)

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Master Intelligence Artificielle et Decision (IAD) - M2

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1ère année (M1)

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Master Intelligence Artificielle et Decision (IAD) - M1

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Master Data Mining and Knowledge Management (DMKM)

Course: Mining Content Information Networks

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  • Transparents du cours 2010 – 2011
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  • Transparents du cours 2011 – 2012
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  • Attripbution des articles 2011
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  • Attribution des articles 2011
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  • Attribution des papiers (2010)
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  • Attripbution des articles 2011
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  • Attribution des articles et proposition ordre de passage
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  • Transparents du cours 2009 – 2010
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  • Transparents du cours 2010 – 2011
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  • Attribution des papiers (2010)
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  • Attribution des papiers (2010)
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  • Liste des papiers proposés (2010)
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  • Attribution des papiers (2010)
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  • Liste des papiers proposés (2010)
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UPMC - IAD

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UPMC - IAD

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Enseignement - Master Informatique UPMC - IAD

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Enseignement - Master Informatique

UPMC - IAD

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  • Liste des papiers proposés (2009)
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/

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/

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  • Liste des papiers proposés (2009)
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  • Attribution des articles et proposition ordre de passage
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Enseignement

Master Informatique UPMC - IAD

2ème année (M2)

Apprentissage Statistique (APAS)

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Enseignement - Master Informatique UPMC - IAD

2ème année (M2)

Apprentissage Statistique (APAS)

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Transparents du cours 2009 – 2010

  • Partie 1
  • Partie 2

Examen 2007

Corrigé examen 2007

Examen 2008 <<<<<< NEW

Corrigé examen 2008

Choisir un article à présenter

Attribution des articles et proposition ordre de passage Documentation

Introduction à l'algorithme EM (J.A. Bilmes) Introduction aux modèles graphiques (K. Murphy) Introduction aux machines à vecteurs supports (C.J. C. Burgess) Livres en ligne

Apprentissage pour la Recherche d'Information textuelle et multimédia (ARI)

Description Transparents du cours Liste des papiers proposés Livres en ligne

Projet de Master (IREC)

                Liste des projets
                Projets Choisis

1ère année (M1)

Reconnaissance des formes et décision (RFIDEC)

Description Transparents du cours Examen 2008

Corrige Examen 2008

Ressources en ligne

to:

Apprentissage pour la Recherche d'Information textuelle et multimédia (ARI)

Projet de Master (IREC)

  • Liste des projets
  • Projets Choisis

1ère année (M1)

Reconnaissance des formes et décision (RFIDEC)

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Enseignement

Master Informatique UPMC - IAD

2ème année (M2)

Apprentissage Statistique (APAS)

Transparents du cours 2009 – 2010

  • Partie 1
  • Partie 2

Examen 2007

Corrigé examen 2007

Examen 2008 <<<<<< NEW

Corrigé examen 2008

Choisir un article à présenter

Attribution des articles et proposition ordre de passage Documentation

Introduction à l'algorithme EM (J.A. Bilmes) Introduction aux modèles graphiques (K. Murphy) Introduction aux machines à vecteurs supports (C.J. C. Burgess) Livres en ligne

Apprentissage pour la Recherche d'Information textuelle et multimédia (ARI)

Description Transparents du cours Liste des papiers proposés Livres en ligne

Projet de Master (IREC)

                Liste des projets
                Projets Choisis

1ère année (M1)

Reconnaissance des formes et décision (RFIDEC)

Description Transparents du cours Examen 2008

Corrige Examen 2008

Ressources en ligne