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Artificial neural networks
Results: 1630

#	Item
481	Understanding the difficulty of training deep feedforward neural networks Xavier Glorot Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-03-31 18:50:33 Mathematics Recurrent neural network Artificial neural network Feedforward neural network Activation function Backpropagation Sigmoid function Autoencoder Logistic function Neural networks Cybernetics Science
482	Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks Dimitri Palaz1,2 , Ronan Collobert1 , Mathew Magimai.-Doss1 1 2 Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2013-12-19 12:36:56 Computational neuroscience Applied mathematics Science Computational linguistics Computer accessibility Speech recognition Mel-frequency cepstrum Artificial neural network Linear prediction Signal processing Neural networks Statistics
483	Generating Text with Recurrent Neural Networks Ilya Sutskever James Martens Geoffrey Hinton University of Toronto, 6 King’s College Rd., Toronto, ON M5S 3G4 CANADA Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2011-05-11 22:05:53 Science Recurrent neural network PAQ Feedforward neural network Boltzmann machine Backpropagation through time Backpropagation Types of artificial neural networks Long short term memory Neural networks Cybernetics Neuroscience
484	Euroscipy 2011: Python in Neuroscience workshop Paris, Ecole Normale Supérieure, AugustProgram committee • Bertrand Thirion (INRIA Saclay) Add to Reading List Source URL: pythonneuro.sciencesconf.org Language: English - Date: 2012-06-28 07:59:52 Neuroscience Cybernetics Computational statistics Cognitive neuroscience Spiking neural network Brian Neuromorphic engineering Biological neural network Artificial neural network Neural networks Computational neuroscience Science
485	Towards End-to-End Speech Recognition with Recurrent Neural Networks Alex Graves Google DeepMind, London, United Kingdom GRAVES @ CS . TORONTO . EDU Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2015-02-01 17:03:27 Cybernetics Recurrent neural network Long short term memory Markov chain Speech recognition Hidden Markov model Logistic function Mutual information Types of artificial neural networks Neural networks Statistics Science
486	What must a global theory of cortex explain? Add to Reading List Source URL: people.seas.harvard.edu Language: English - Date: 2014-01-27 11:46:18 Computational neuroscience Neural networks Cognitive neuroscience Nervous system Cognitive science Biological neural network Brain Memory Artificial neural network Neuroscience Science Mind
487	DAVID WOLPERT NASA Ames Research Center MS 269-2, Moffett Field, CA3362, , ti.arc.nasa.gov/people/dhw EDUCATION: Ph.D., UNIVERSITY OF CALIFORNIA, SANTA BARBARA, Physics, 1989. Add to Reading List Source URL: ti.arc.nasa.gov Language: English - Date: 2010-09-09 17:49:35 Knowledge No free lunch theorem Philosophy of mathematics Networks Self-dissimilarity 21699 Wolpert No free lunch in search and optimization Artificial neural network Machine learning Mathematics Science Computational neuroscience
488	PDF Document Add to Reading List Source URL: geofizika-journal.gfz.hr Language: English - Date: 2008-07-15 09:39:11 Neural networks Computational statistics Science India Meteorological Department Artificial neural network Rain Precipitation Computational neuroscience Meteorology Atmospheric sciences
489	Constraining Connectivity to Encourage Modularity in HyperNEAT In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM, 2011 Phillip Verbancsics Add to Reading List Source URL: eplex.cs.ucf.edu Language: English - Date: 2011-04-04 22:43:47 Science Cybernetics Evolutionary computation Genetic algorithms Computational neuroscience Neuroevolution HyperNEAT Compositional pattern-producing network Artificial neural network Neural networks Evolutionary algorithms Machine learning
490	Deep Learning for Time Series Modeling CS 229 Final Project Report Enzo Busseti, Ian Osband, Scott Wong December 14th, Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 22:36:01 Statistics Recurrent neural network Generalization error Forecasting Backpropagation Boltzmann machine Types of artificial neural networks Artificial neural network Neural networks Machine learning Cybernetics

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