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Neural backpropagation
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361	UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING Abdel-rahman Mohamed, Geoffrey Hinton, and Gerald Penn Department of Computer Science, University of Toronto ABSTRACT Deep Belief Networks (DBNs) are a ve Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 19:52:25 Applied mathematics Speech recognition Mel-frequency cepstrum Supervised learning Feedforward neural network Backpropagation Discrete cosine transform Neural networks Cybernetics Science
362	1 A Decade of Kasabov’s Evolving Connectionist Systems: A Review Michael J. Watts, Member, IEEE Add to Reading List Source URL: ecos.watts.net.nz Language: English - Date: 2012-04-08 00:29:30 Science Artificial neural network Artificial neuron Backpropagation Self-organizing map Perceptron Hebbian theory Neuron Connectionism Neural networks Machine learning Cybernetics
363	Sentient World: Human-Based Procedural Cartography An Experiment in Interative Sketching and Iterative Refining Antonios Liapis1 , Georgios N. Yannakakis1,2 , and Julian Togelius1 1 Center for Computer Games Research Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2013-08-26 11:58:55 Science Statistics Computational statistics Artificial neural network Backpropagation Heightmap Digital elevation model Usability Cartography Neural networks Computational neuroscience Cybernetics
364	UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-07-18 13:52:46 Cybernetics Perceptron Nonlinear dimensionality reduction Backpropagation Statistical classification Generative model Types of artificial neural networks Feedforward neural network Neural networks Statistics Machine learning
365	SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-05 12:39:24 Neuroscience Long short term memory Recurrent neural network Backpropagation through time Speech recognition Backpropagation Types of artificial neural networks Neural networks Cybernetics Science
366	Improving neural networks by preventing co-adaptation of feature detectors G. E. Hinton∗ , N. Srivastava, A. Krizhevsky, I. Sutskever and R. R. Salakhutdinov Department of Computer Science, University of Toronto, 6 Kin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-09-17 18:25:11 Neuroscience Feedforward neural network Artificial neural network Backpropagation Boltzmann machine Speech recognition Types of artificial neural networks Recurrent neural network Neural networks Cybernetics Science
367	IMPROVING DEEP NEURAL NETWORKS FOR LVCSR USING RECTIFIED LINEAR UNITS AND DROPOUT George E. Dahl ? Tara N. Sainath† Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-08-04 20:58:12 Science Networks Computational neuroscience Network architecture Backpropagation Early stopping Autoencoder Boltzmann machine Bayesian network Neural networks Statistics Machine learning
368	MADALINE RULE 11: A Training Algorithm for Neural Networks Prof. Bernard Widrow Capt. Rodney Winter, USAF Dept. of Electrical Engineering Add to Reading List Source URL: www-isl.stanford.edu Language: English - Date: 2008-02-08 01:03:11 Neuroscience ADALINE Madaline Backpropagation Feedforward neural network Types of artificial neural networks Neural networks Cybernetics Science
369	Shape and Texture Generation by Neural Network Creation Paradigm J. P. Lewis Computer Graphics Laboratory New York Institute of Technology Abstract Add to Reading List Source URL: scribblethink.org Language: English - Date: 2008-03-24 23:35:13 Cybernetics Science Learning Cognitive science Network architecture Backpropagation Perceptron Connectionism Supervised learning Neural networks Machine learning Computational neuroscience
370	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 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2003-08-27 18:00:05 Neuroscience Perceptron Backpropagation Multilayer perceptron Statistical classification Artificial neural network Cellular neural network Neural networks Cybernetics Statistics

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