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Types of artificial neural networks
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111	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
112	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
113	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
114	) ANALYSIS OF HEART DISEASES DATASET USING NEURAL NETWORK APPROACH UP Add to Reading List Source URL: www.science-of-medicine.netne.net Language: English - Date: 2013-02-01 20:07:54 Statistics Artificial neural network Backpropagation Multilayer perceptron Perceptron Artificial neuron Data mining Cellular neural network Types of artificial neural networks Neural networks Machine learning Cybernetics
115	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
116	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
117	98 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 1, JANUARY 1997 Face Recognition: A Convolutional Neural-Network Approach Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 15:31:41 Statistics Multilayer perceptron Self-organizing map Backpropagation Perceptron Segmentation Hybrid Kohonen SOM Types of artificial neural networks Neural networks Machine learning Cybernetics
118	A Learning Algorithm for Boltzmann Machines Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 15:31:40 Boltzmann machine Cybernetics Neuroscience Connectionism Geoffrey Hinton Mathematical optimization Types of artificial neural networks Hopfield network Neural networks Computational neuroscience Science
119	Dynamics of learning in deep linear neural networks Andrew M. Saxe ([removed]) Department of Electrical Engineering James L. McClelland ([removed]) Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2013-11-28 10:28:30 Science Backpropagation Autoencoder Feedforward neural network Synaptic weight Artificial neural network Types of artificial neural networks Neural networks Machine learning Cybernetics
120	The Difficulty of Learning Long-Term Dependencies with Gradient Descent Papers by Y. Bengio, P. Simard, P. Frasconi, S. Hochreiter and J. Schmidhuber Presented by Keerthiram Murugesan Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-07 13:24:30 Neuroscience Artificial intelligence Science Recurrent neural network Backpropagation Types of artificial neural networks Neural networks Computational neuroscience Cybernetics

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