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Neural backpropagation
Results: 449

#	Item
391	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
392	A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach -Herbert Jaeger Presented by: Shaowei Wang Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 11:44:19 Machine learning Neuroscience Recurrent neural network Backpropagation through time Backpropagation Feedforward neural network Types of artificial neural networks Artificial neural network Neural networks Computational neuroscience Cybernetics
393	LONG SHORT-TERM MEMORY Neural Computation 9(8):1735{1780, 1997 Sepp Hochreiter Fakultat fur Informatik Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-18 08:37:13 Statistics Machine learning Econometrics Long short term memory Backpropagation through time Backpropagation Sepp Hochreiter Flip-flop Kalman filter Neural networks Cybernetics Computational neuroscience
394	Outline • • • • • Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-16 13:15:52 Science Neuroscience Artificial neuron Activation function Multilayer perceptron Autoencoder Neural networks Cybernetics Backpropagation
395	IEEE-28MSP01-Feature-TEMPLATE Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-24 15:15:32 Computational neuroscience Computational statistics Computational linguistics Hidden Markov model Boltzmann machine Speech recognition Artificial neural network Backpropagation Expectation–maximization algorithm Statistics Neural networks Machine learning
396	Bidirectional Recurrent Neural Networks Mike Schuster and Kuldip K. Paliwal IEEE Trans. on Signal Processing, [removed]Presented by: Felix Juefei Xu Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 23:40:57 Neuroscience Recurrent neural network Backpropagation Multilayer perceptron Perceptron Types of artificial neural networks Feedforward neural network Neural networks Cybernetics Science
397	LETTER Communicated by Yann Le Cun A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-16 13:22:12 Probability and statistics Statistical models Bayesian statistics Computational neuroscience Boltzmann machine Backpropagation Graphical model Generative model Gibbs sampling Statistics Neural networks Machine learning
398	A tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach Herbert Jaeger Fraunhofer Institute for Autonomous Intelligent Systems (AIS) since 2003: International Univ Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-18 08:37:14 Science Recurrent neural network Backpropagation through time Backpropagation Multilayer perceptron Perceptron Activation function Types of artificial neural networks Artificial neural network Neural networks Cybernetics Neuroscience
399	Back Propagation is Sensitive to Initial Conditions John F. Kolen Jordan B. Pollack Laboratory for Artificial Intelligence Research Computer and Information Science Department The Ohio State University Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 22:24:19 Neuroscience Perceptron Backpropagation Random neural network Artificial neuron Connectionism Chaos theory Cellular neural network Neural networks Cybernetics Science
400	LANGUAGE AND COGNITIVE PROCESSES, 2000, 15 (1), 87–127 Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant Peter Ford Dominey Add to Reading List Source URL: www.isc.cnrs.fr Language: English - Date: 2003-11-17 11:25:11 Mental processes Statistics Phonetics Memory Neuropsychological assessment Markov chain Neural network Backpropagation through time Language acquisition Computational neuroscience Knowledge Science

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