At the recent France is AI event, Stephane mentioned to me that a Deep Learning School had been organized by (another) Stéphane and Frédéric this past June in Nice. Here are the slides:
- Panorama du Deep Learning aujourd'hui : Stéphane Canu (Deep_In_France, INSA-Rouen)
- Bases du Deep Learning (Perceptron, MLP, backpropagation, etc) : Frédéric Precioso (Deep_In_France, UCA)
- Introduction aux Convolutional Neural Network (CNN) : Frédéric Precioso (Deep_In_France, UCA)
- Cours autoencodeurs et Restricted Boltzman Machines : Soufiane Belharbi (Deep_In_France, INSA-Rouen)
- Generative Adversarial Networks : Mélanie Ducoffe (Deep_In_France, UCA)
- Transfer learning with CNN : Soufiane Belharbi (Deep_In_France, INSA-Rouen)
- Cours sur les Recurrent Neural Network: Rémi Cadène (Deep_In_France, LIP6)
- Visual Question Answering: Rémi Cadène (Deep_In_France, LIP6)
- Attention model pour image captioning: Jakob Verbeek (Deep_In_France, INRIA Rhone-Alpes)
- Optimisation Deep Networks: Mélanie Ducoffe/Soufiane Belharbi/Frédéric Precioso (Deep_In_France)
- Convolutional neural fabrics: Jakob Verbeek (Deep_In_France, INRIA Rhone-Alpes)
- Active learning for Deep Nets: Mélanie Ducoffe (Deep_In_France, UCA)
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