Neural networks - PDFSEARCH.IO - Document Search Engine

Neural networks
Results: 3500

#	Item
461	INVESTIGATION OF BACK-OFF BASED INTERPOLATION BETWEEN RECURRENT NEURAL NETWORK AND N-GRAM LANGUAGE MODELS X. Chen, X. Liu, M. J. F. Gales, and P. C. Woodland University of Cambridge Engineering Department, Cambridge, U.K Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-03-11 05:30:19 Computational linguistics Artificial neural networks Artificial intelligence Interpolation Statistical natural language processing Recurrent neural network Language model Linear interpolation N-gram Speech recognition Craig interpolation
462	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning
463	Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:41:30 Artificial neural networks Computational neuroscience Multilayer perceptron Perceptron Connectionism Function Backpropagation Feedforward neural network
464	DEEP LEARNING FOR TRADING 35::::38.7 Add to Reading List Source URL: fpq.io Language: English - Date: 2016-05-16 03:43:49 Machine learning Computational neuroscience Cybernetics Artificial neural networks Perceptron Deep learning Overfitting Supervised learning Artificial intelligence
465	A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-04-08 20:55:10 Artificial neural networks Computational neuroscience Convolutional neural network Time delay neural network Language model Convolution Recurrent neural network Word embedding Recursive neural network Connectionism Yann LeCun Deep learning
466	1 Below is the unedited draft of the article that has been accepted for publication (© Physics of Life Reviews, 2013, V. 10, PDissipative many-body model and a nested operational architectonics of the brai Add to Reading List Source URL: www.bm-science.com Language: English - Date: 2015-10-17 20:09:12 Neuroscience Neural coding Neurophysiology Neural networks Electrophysiology Neural oscillation Human brain Brain Quantum mind
467	Neural Dynamics and Reinforcement Learning Presented By: Matthew Luciw DFT SUMMER SCHOOL, 2013 Add to Reading List Source URL: roboticsschool.ini.rub.de Language: English - Date: 2013-10-09 09:31:30 Machine learning Artificial intelligence Computational neuroscience Robotics Artificial neural networks Reinforcement learning Metalearning Dalle Molle Institute for Artificial Intelligence Research Q-learning Robot learning Reinforcement Cognitive robotics
468	Excerpt reprinted with permission. Posit Science 225 Bush Street 7th floor San Francisco CAwww.PositScience.com PSC0607DOIDGE001 Chapter 3 Add to Reading List Source URL: bcfastforword.pbworks.com Language: English - Date: 2016-08-19 13:55:38 Neuroscience Cerebrum Neuroanatomy Neurophysiology Neural networks Neuroplasticity Michael Merzenich Brain Critical period Motor cortex Nervous system Human brain
469	Recurrent Neural Net Learning and Vanishing Gradient International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:14:24 Artificial neural networks Recurrent neural network Long short-term memory Vanishing gradient problem Sepp Hochreiter Backpropagation through time Backpropagation Artificial intelligence Artificial neuron Time delay neural network Deep learning Types of artificial neural networks
470	SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA Sepp Hochreiter Jurgen Schmidhubery Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 02:59:44 Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Backpropagation Generalization error

UPDATE