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Backpropagation through time
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31	14 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 18, NO. 1, JANUARY 2007 Backpropagation Algorithms for a Broad Class of Dynamic Networks Add to Reading List Source URL: hagan.okstate.edu Language: English - Date: 2009-12-17 20:17:10 Science Backpropagation through time Recurrent neural network Backpropagation Perceptron Multilayer perceptron Algorithm Gradient descent Types of artificial neural networks Neural networks Cybernetics Applied mathematics
32	686 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 20, NO. 4, APRIL 2009 Spurious Valleys in the Error Surface of Recurrent Networks—Analysis and Avoidance Add to Reading List Source URL: hagan.ecen.ceat.okstate.edu Language: English - Date: 2009-12-17 20:19:46 Neuroscience Recurrent neural network Backpropagation Polynomial Control theory Backpropagation through time Types of artificial neural networks Neural networks Cybernetics Science
33	Recurrent Convolutional Neural Networks for Scene Labeling Pedro O. Pinheiro1,2 Ronan Collobert2 1 Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Lausanne, Switzerland Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Science Neuroscience Segmentation Artificial neural network Backpropagation through time Recurrent neural network Pattern recognition Convolutional code Computational neuroscience Neural networks Cybernetics
34	La Crosse Area Family YMCA Y CYCLE WEEKEND June 28 – 29, 2014 Join us for a weekend of cycling in the Coulee region! Choose from 3 different cycling events: Saturday will feature the Brice Prairie Time Trial and Sunda Add to Reading List Source URL: wisport.org Language: English - Date: 2014-03-12 16:15:54 La Crosse Wisconsin Backpropagation through time Holmen Wisconsin YMCA Wisconsin Geography of the United States Brice Prairie Wisconsin
35	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
36	Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-09 12:05:45 Mathematics Machine learning Backpropagation Artificial neural network Derivative Artificial neuron Kalman filter Euler–Lagrange equation Differential equation Neural networks Cybernetics Computational neuroscience
37	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: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-28 11:21:25 Neuroscience Long short term memory Recurrent neural network Backpropagation through time Speech recognition Backpropagation Types of artificial neural networks Neural networks Cybernetics Science
38	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 45, NO. 11, NOVEMBER[removed]Bidirectional Recurrent Neural Networks Mike Schuster and Kuldip K. Paliwal, Member, IEEE Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-18 08:37:13 Science Neuroscience Recurrent neural network Artificial neural network Backpropagation through time Time delay neural network Pattern recognition Perceptron Speech recognition Neural networks Computational neuroscience Cybernetics
39	PDF Document Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-30 14:02:30 Cybernetics Control theory Backpropagation through time Applied mathematics Neural networks Long short term memory Science
40	Learning Long-Term Dependencies with Gradient Descent is Dicult Yoshua Bengioy, Patrice Simardy, and Paolo Frasconiz yAT&T zDip. Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 22:24:14 Cybernetics Science Recurrent neural network Backpropagation through time Backpropagation Flip-flop Neural networks Computational neuroscience Machine learning

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