Compte rendu de la Journée Mondiale des Pêcheurs 2009 organisée les 20 et 21 novembre à Lorient par le collectif Pêche & Développement – Notes de Yann Yvergniaux (ICSF) A l’occasion de la Journée Mondiale des

Source URL: eussf.icsf.net

REVIEW doi:nature14539 Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Deep learning
• Convolutional neural network
• Recurrent neural network
• Backpropagation
• Autoencoder
• Feature learning
• Recursive neural network
• Long short-term memory
• Perceptron
• Feedforward neural network
• Artificial intelligence

Yann Geslin et Noémie Sprenger-Ohana « Abstraction et symbolisation dans la représentation des musiques électroacoustiques : un exemple de transcription à niveaux multiples de L’oiseau moqueur réalisé à l’aid

Source URL: www.ems-network.org

Traffic Sign Recognition with Multi-Scale Convolutional Networks Pierre Sermanet and Yann LeCun Courant Institute of Mathematical Sciences, New York University {sermanet,yann}@cs.nyu.edu Abstract— We apply Convolutiona

Source URL: yann.lecun.com

Efficient Learning of Sparse Representations with an Energy-Based Model Marc’Aurelio Ranzato Christopher Poultney Sumit Chopra Yann LeCun Courant Institute of Mathematical Sciences New York University, New York, NY 100

Source URL: machinelearning.wustl.edu

Yann GUÉGAN 142, rue Saint-MaurParis Mob. : 35 ans

Source URL: dansmonlabo.com

Programming Self-Organizing Systems with the Higher-Order Chemical Language 1 ˆ J EAN -P IERRE BAN ATRE , PASCAL F RADET2 , YANN R ADENAC1

Source URL: pop-art.inrialpes.fr

Convolutional Networks and Applications in Vision Yann LeCun, Koray Kavukcuoglu and Cl´ement Farabet Computer Science Department, Courant Institute of Mathematical Sciences, New York University {yann,koray,cfarabet}@cs.

Source URL: koray.kavukcuoglu.org

UNSUPERVISED LEARNING OF SPARSE FEATURES FOR SCALABLE AUDIO CLASSIFICATION Mikael Henaff, Kevin Jarrett, Koray Kavukcuoglu and Yann LeCun Courant Institute of Mathematical Sciences New York University ; ya

Source URL: yann.lecun.com

Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu1 , Pierre Sermanet1 , Y-Lan Boureau2,1 , Karol Gregor1 , Micha¨el Mathieu1 , Yann LeCun1 1

Source URL: koray.kavukcuoglu.org