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The top documents tagged [multiple hidden layers]
2007 NIPS Tutorial on: Deep Belief Nets Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto
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1. Plan for today I st part – Brief introduction to Biological systems. – Historical Background. – Deep Belief learning procedure. II nd part – Theoretical
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Applications of Artificial Neural Networks in Civil Engineering
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Implementation of Back-Propagation Neural Network using Scilab and its Convergence Speed Improvement
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Implementation of Back-Propagation Neural Network using Scilab and its Convergence Speed Improvement
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Deep Learning Bing-Chen Tsai 1/21 1. outline Neural networks Graphical model Belief nets Boltzmann machine DBN Reference 2
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Deep Boltzmann Machines Salakhutdinov, Hinton International Conference on Artificial Intelligence and Statistics (AISTATS) 2009
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Using Backprop to Understand Apects of Cognitive Development PDP Class Feb 8, 2010
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CIAR Second Summer School Tutorial Lecture 1b Contrastive Divergence and Deterministic Energy-Based Models Geoffrey Hinton
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Using Backprop to Understand Apects of Cognitive Development
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2007 NIPS Tutorial on: Deep Belief Nets
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CSC2515 Fall 2007 Introduction to Machine Learning Lecture 4: Backpropagation All lecture slides will be available as.ppt,.ps, &.htm at hinton
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