Neural backpropagation

Results: 449



#Item
381Nonlinear dimensionality reduction / Principal component analysis / Dimension reduction / Boltzmann machine / Backpropagation / Autoencoder / Support vector machine / Statistics / Neural networks / Multivariate statistics

REPORTS Fig. 3. Theory, presented as the experiment (see Fig. 1). The SHG source is the magnetic component of the Lorentz force on metal electrons in the SRRs. The setup for measuring the SHG is described

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-16 13:22:12
382Science / Feedforward neural network / Autoencoder / Backpropagation / Supervised learning / Neural networks / Cybernetics / Statistics

ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [removed]

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-24 15:05:41
383Neuroscience / Long short term memory / Recurrent neural network / Backpropagation through time / Speech recognition / Backpropagation / Types of artificial neural networks / Neural networks / Cybernetics / Science

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

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-28 11:21:25
384Applied mathematics / Mathematics / Backpropagation / Perceptron / Multilayer perceptron / Gradient descent / Feedforward neural network / Neural networks / Cybernetics / Rprop

A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm Martin Riedmiller Heinrich Braun

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-09 12:05:45
385Science / Neuroscience / Recurrent neural network / Artificial neural network / Backpropagation through time / Time delay neural network / Pattern recognition / Perceptron / Speech recognition / Neural networks / Computational neuroscience / Cybernetics

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 45, NO. 11, NOVEMBER[removed]Bidirectional Recurrent Neural Networks Mike Schuster and Kuldip K. Paliwal, Member, IEEE

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-18 08:37:13
386Statistics / Multilayer perceptron / Self-organizing map / Backpropagation / Perceptron / Segmentation / Hybrid Kohonen SOM / Types of artificial neural networks / Neural networks / Machine learning / Cybernetics

98 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 8, NO. 1, JANUARY 1997 Face Recognition: A Convolutional Neural-Network Approach

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-23 15:31:41
387Science / Artificial neural network / Backpropagation / Recurrent neural network / Multilayer perceptron / Perceptron / Supervised learning / Handwriting recognition / Neural networks / Cybernetics / Artificial intelligence

Multi-column Deep Neural Networks for Image Classification Dan Cires¸an, Ueli Meier and J¨urgen Schmidhuber IDSIA-USI-SUPSI Galleria 2, 6928 Manno-Lugano, Switzerland {dan,ueli,juergen}@idsia.ch

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-24 15:07:54
388Cybernetics / Control theory / Backpropagation through time / Applied mathematics / Neural networks / Long short term memory / Science

PDF Document

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-30 14:02:30
389Science / Backpropagation / Autoencoder / Feedforward neural network / Synaptic weight / Artificial neural network / Types of artificial neural networks / Neural networks / Machine learning / Cybernetics

Dynamics of learning in deep linear neural networks Andrew M. Saxe ([removed]) Department of Electrical Engineering James L. McClelland ([removed])

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Source URL: www.stanford.edu

Language: English - Date: 2013-11-28 10:28:30
390Cybernetics / Science / Recurrent neural network / Backpropagation through time / Backpropagation / Flip-flop / Neural networks / Computational neuroscience / Machine learning

Learning Long-Term Dependencies with Gradient Descent is Dicult Yoshua Bengioy, Patrice Simardy, and Paolo Frasconiz yAT&T zDip.

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-23 22:24:14
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