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research

• Research Home
• Open Research Positions

article

• About this site / and more
• Formation Deep-Learning for NLP
• Mixture of models and the E.M algorithm
• NNet starter
• Rationalizing Neural Predictions
• Softmax Gradient
• Variational Bayes: notes on basics

home

AIC18

• AIC (un-official) Web page (2018-19)
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Exercices de probabilité
• Cours TC4 (Partie Probabiliste)

M1

• M1 : Probabilité Statistique et Théorie de l'Information
• NNet / Traitement automatique des langues
• M1 Informatique : TER

article

• About this site / and more
• Formation Deep-Learning for NLP
• Mixture of models and the E.M algorithm
• NNet starter
• Rationalizing Neural Predictions
• Softmax Gradient
• Variational Bayes: notes on basics

cours

• Advanced topics in Deep Learning, ESPCI
• AIC (un-official) Web page (2018-19)
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Formation Deep-Learning for NLP
• Exercices de probabilité
• Introduction to Deep Learning, Master BME-BIN
• Introduction to Deep Learning, ESPCI
• M1 : Probabilité Statistique et Théorie de l'Information
• NNet / Traitement automatique des langues
• M1 Informatique : TER
• Mixture of models and the E.M algorithm
• Deep-Learning and Natural Language Processing, IASD
• NNet starter
• Cours
• Cours TC4 (Partie Probabiliste)
• Cours

research

• Research Home
• Open Research Positions

AIC18

• AIC (un-official) Web page (2018-19)
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Exercices de probabilité
• Cours TC4 (Partie Probabiliste)

BME

• Introduction to Deep Learning, Master BME-BIN

EM

• Mixture of models and the E.M algorithm
• Variational Bayes: notes on basics

M1

• M1 : Probabilité Statistique et Théorie de l'Information
• NNet / Traitement automatique des langues
• M1 Informatique : TER

NLP

• Deep-Learning and Natural Language Processing, IASD

NNet

• Advanced topics in Deep Learning, ESPCI
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Introduction to Deep Learning, Master BME-BIN
• Introduction to Deep Learning, ESPCI
• NNet / Traitement automatique des langues
• Deep-Learning and Natural Language Processing, IASD
• Rationalizing Neural Predictions

ProbaStat

• M1 : Probabilité Statistique et Théorie de l'Information

TER

• NNet / Traitement automatique des langues
• M1 Informatique : TER

article

• About this site / and more
• Formation Deep-Learning for NLP
• Mixture of models and the E.M algorithm
• NNet starter
• Rationalizing Neural Predictions
• Softmax Gradient
• Variational Bayes: notes on basics

bayes

• Mixture of models and the E.M algorithm
• Variational Bayes: notes on basics

cfe

• Formation Deep-Learning for NLP

cours

• Advanced topics in Deep Learning, ESPCI
• AIC (un-official) Web page (2018-19)
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Formation Deep-Learning for NLP
• Exercices de probabilité
• Introduction to Deep Learning, Master BME-BIN
• Introduction to Deep Learning, ESPCI
• M1 : Probabilité Statistique et Théorie de l'Information
• NNet / Traitement automatique des langues
• M1 Informatique : TER
• Mixture of models and the E.M algorithm
• Deep-Learning and Natural Language Processing, IASD
• NNet starter
• Cours
• Cours TC4 (Partie Probabiliste)
• Cours

emacs

• About this site / and more

espci

• Advanced topics in Deep Learning, ESPCI
• Introduction to Deep Learning, Master BME-BIN
• Introduction to Deep Learning, ESPCI

exercices

• Exercices de probabilité

gmm

• Mixture of models and the E.M algorithm

gradient

• Softmax Gradient

iasd

• Deep-Learning and Natural Language Processing, IASD

jekyll

• About this site / and more

nnet

• Formation Deep-Learning for NLP
• NNet starter

orgmode

• About this site / and more

position

• Open Research Positions

probabilités

• Exercices de probabilité

readings

• Rationalizing Neural Predictions

softmax

• Softmax Gradient

tc1

• Mixture of models and the E.M algorithm

variational

• Mixture of models and the E.M algorithm
• Variational Bayes: notes on basics

cours

• Advanced topics in Deep Learning, ESPCI
• AIC (un-official) Web page (2018-19)
• Deep-Learning, Master AIC
• Apprentissage structuré et Deep-Learning / Master AIC
• Formation Deep-Learning for NLP
• Exercices de probabilité
• Introduction to Deep Learning, Master BME-BIN
• Introduction to Deep Learning, ESPCI
• M1 : Probabilité Statistique et Théorie de l'Information
• NNet / Traitement automatique des langues
• M1 Informatique : TER
• Mixture of models and the E.M algorithm
• Deep-Learning and Natural Language Processing, IASD
• NNet starter
• Cours
• Cours TC4 (Partie Probabiliste)
• Cours