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Page 1: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 2: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 3: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 4: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 5: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 6: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 7: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 8: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 9: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 10: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using
Page 11: Yann LeCunyann.lecun.com/exdb/publis/pdf/lecun-89e.pdf ·  · 2004-12-20backpropagation. This is in contrast with earlier work (Denker et al. ... All experiments were done using

Learning Deep Architectures for AI - University of Pittsburghpeople.cs.pitt.edu/~huynv/research/deep-nets/Learning Deep Architectures for AI.pdfzato, Poultney, Chopra, & LeCun, 2007),

Machine Learning: Decision Trees Homework 4 assigned courtesy: Geoffrey Hinton, Yann LeCun, Tan, Steinbach, Kumar

Jonathan Tompson, Murphy Stein, Yann LeCun, Ken Perlin REAL-TIME CONTINUOUS POSE RECOVERY OF HUMAN HANDS USING CONVOLUTIONAL NETWORKS

yann.lecun.comyann.lecun.com/exdb/publis/pdf/lecun-kanter-solla-91.pdf · The application of statistical-physics methods to the ... In this paper we derive rigorous results for a

Scanning the Technology - Yann LeCunyann.lecun.com/exdb/publis/pdf/cox-98.pdfScanning the Technology On the Applications of Multimedia Processing to Communications RICHARD V. COX,

BOARD OF GOVERNORS Memorandum - McGill University€¦ · Brian Fetherstonhaugh, Chairman and Chief Executive Officer, OgilvyOne Worldwide • Yann LeCun, Director of AI Research,

Y LeCun MA Ranzato - Computational Intelligence, Learning ... Sparse Coding Pooling ... Y LeCun MA Ranzato Deep Learning and Feature Learning Today ... Y LeCun MA Ranzato SHALLOW DEEP

CAUSAL GRAPH-BASED VIDEO SEGMENTATION - Yann LeCunyann.lecun.com/exdb/publis/pdf/couprie-icip-13.pdf · define markers. The markers are then used to produce the final segmentation

Learning Image FeaturesLearning Image Featuresyann/talks/lecun-20100710-pcmi-00...Yann LeCun Vision occupies a big chunk of our brainsVision occupies a big chunk of our brains 1/3

NIPS'2015 Tutorial Geoff Hinton, Yoshua Bengio & Yann LeCun

yann.lecun.comyann.lecun.com/exdb/publis/pdf/becker-lecun-89.pdf · optimization methods towards improving the con- vergence of back-propagation. We then describe a computationally

Pierre Sermanet¹·² Raia Hadsell¹ Jan Ben² Ayse Naz Erkan¹ Beat Flepp² Urs Muller² Yann LeCun¹

Large-ScaleFPGA-basedConvolutionalNetworksyann.lecun.com/exdb/publis/pdf/farabet-suml-11.pdfLarge-ScaleFPGA-basedConvolutionalNetworks Cl´ement Farabet1, Yann LeCun1, Koray Kavukcuoglu1,

NeuFlow: A Runtime Reconfigurable Dataflow Processor for Visionyann.lecun.com/exdb/publis/pdf/farabet-ecvw-11.pdf · Invited Paper NeuFlow: A Runtime Reconfigurable Dataflow Processor

Neural Networks and Deep Learning Slides credit: Geoffrey Hinton and Yann LeCun

Optimization & Deep Learning 2017. 4. 19. · Z. Y LeCun Dynamic Factor Graphs Target Prop for Recurrent Nets Deep Learning for Time-Series Prediction – [Mirowski & LeCun ECML 09]

Scene Understanding With Deep Learning - cs.nyu.eduyann/talks/lecun-20130623-cvpr-sunw.pdf · Image recognition Pixel → edge ... ML, CV, AI, Neuroscience, Cognitive Science...

Learning Maneuver Dictionaries for Ground Robot Planningyann.lecun.com/exdb/publis/pdf/sermanet-isr-08.pdf · Learning Maneuver Dictionaries for Ground Robot Planning ... Optimal

Yann LeCun's Home Pageyann.lecun.com/exdb/publis/pdf/lecun-89c.pdfnition: Applications of neural net chips and automatic learning. IEEE Communacatæon, pages 41—46, November 1989

Scaling Learning Algorithms towards AI - Yann LeCunyann.lecun.com/exdb/publis/pdf/bengio-lecun-07.pdf · 2007-08-24 · Scaling Learning Algorithms towards AI Yoshua Bengio (1) and

yann.lecun.comyann.lecun.com/exdb/publis/pdf/lecun-89.pdf · foundation to Geoffrey Hinton. The author wishes to thank Geoff Hinton, Mike Mozer, ... generalization performance on

yann.lecun.comyann.lecun.com/exdb/publis/pdf/matan-90.pdf · Handwritten Character Recognition Using Neural Network ... networks in real-world ... knowledge of the probability of

Gradient-Based Learning Applied to Document - Yann LeCun

Y LeCun MA Ranzato 2014-04-13 · Y LeCun MA Ranzato This Basic Model has not evolved much since the 50's The first learning machine: the Perceptron Built at Cornell in 1960 The Perceptron

Efficient Algorithms for Matching Pedro Felzenszwalb Trevor Darrell Yann LeCun Alex Berg

Discriminative Recurrent Sparse Auto-Encodersyann.lecun.com/exdb/publis/pdf/rolfe-lecun-iclr-13.pdf · 2013-04-21 · Discriminative Recurrent Sparse Auto-Encoders Jason Tyler Rolfe

Lecture 1: Introduction to Deep LearningEvolution of ConvNets • LeNet (LeCun, 1998) – Basic structures: convolution, max-pooling, softmax • Alexnet (Krizhevsky et.al 2012) –

Comparison between frame-constrained fix-pixel-value and frame …yann.lecun.com/exdb/publis/pdf/farabet-frontiersin-12.pdf · 2012-04-12 · ORIGINAL RESEARCH ARTICLE published:

Backpropagation Applied to Handwritten Zip Code …yann.lecun.org/exdb/publis/pdf/lecun-89e.pdf · Communicated by Dana Ballard Backpropagation Applied to Handwritten Zip Code Recognition

1 End-to-End Learning for Automatic Cell Phenotyping Paolo Emilio Barbano, Koray Kavukcuoglu, Marco Scoffier, Yann LeCun April 26, 2006

Neural Networks William Cohen 10-601 [pilfered from: Ziv; Geoff Hinton; Yoshua Bengio; Yann LeCun; Hongkak…

Jonathan Tompson , Murphy Stein, Yann LeCun , Ken Perlin

Lecun 20060816-ciar-01-energy based learning

MACHINE LEARNING AND PATTERN RECOGNITION Spring 2005 ... · Unsupervised Learning: Dimensionality Reduction, PCA, K-Means Yann LeCun The Courant Institute, ... Unsupervised Learning

Transformation Invariance in Pattern Recognition - Yann LeCun