Convolutional neural network

Results: 192



#Item
181Convolutional 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.

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.

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Source URL: yann.lecun.com

Language: English - Date: 2010-05-10 11:37:38
182Recurrent Convolutional Neural Networks for Scene Labeling  Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland

Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
183ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Ilya Sutskever Geoffrey Hinton University of Toronto

ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Ilya Sutskever Geoffrey Hinton University of Toronto

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-10-19 10:59:44
184Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic

Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic

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Source URL: research.microsoft.com

Language: English - Date: 2003-08-27 18:00:05
185Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic

Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis Patrice Y. Simard, Dave Steinkraus, John C. Platt Microsoft Research, One Microsoft Way, Redmond WA 98052 {patrice,v-davste,jplatt}@mic

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-01 23:39:13
186ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [removed]

ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [removed]

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-24 15:05:41
18798  IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 1, JANUARY 1997 Face Recognition: A Convolutional Neural-Network Approach

98 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 1, JANUARY 1997 Face Recognition: A Convolutional Neural-Network Approach

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-23 15:31:41
188Face Recognition: A Convolutional Neural Network Approach Instructor: Bhiksha Raj Student: T. Hoang Ngan Le  The Problem

Face Recognition: A Convolutional Neural Network Approach Instructor: Bhiksha Raj Student: T. Hoang Ngan Le The Problem

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Source URL: deeplearning.cs.cmu.edu

- Date: 2013-10-01 23:41:00
    189Unsupervised feature learning for audio classification using convolutional deep belief networks

    Unsupervised feature learning for audio classification using convolutional deep belief networks

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    Source URL: ai.stanford.edu

    Language: English - Date: 2009-11-03 17:17:35