Feedforward neural network

Results: 178



#Item
141Neuroscience / ADALINE / Madaline / Backpropagation / Feedforward neural network / Types of artificial neural networks / Neural networks / Cybernetics / Science

MADALINE RULE 11: A Training Algorithm for Neural Networks Prof. Bernard Widrow Capt. Rodney Winter, USAF Dept. of Electrical Engineering

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Source URL: www-isl.stanford.edu

Language: English - Date: 2008-02-08 01:03:11
142Cybernetics / Perceptron / Nonlinear dimensionality reduction / Backpropagation / Statistical classification / Generative model / Types of artificial neural networks / Feedforward neural network / Neural networks / Statistics / Machine learning

UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial) Geoffrey Hinton Canadian Institute for Advanced Research

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Source URL: www.cs.toronto.edu

Language: English - Date: 2009-07-18 13:52:46
143Statistics / Neuroscience / Artificial neural network / Feedforward neural network / Backpropagation / Neural networks / Computational neuroscience / Cybernetics

The European Journal of Mineral Processing and Environmental Protection Vol.3, No.1, [removed], 2003, pp[removed]Prediction of two-metal biosorption equilibria using a neural network K.H. Chu*

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Source URL: www.ejmpep.com

Language: English - Date: 2011-11-19 18:49:46
144Mathematics / Generalized Hebbian Algorithm / Principal component analysis / Backpropagation / Eigenvalues and eigenvectors / Artificial neuron / Feedforward neural network / Supervised learning / Hebbian theory / Neural networks / Statistics / Algebra

Neural Networks, Vol. 2, pp[removed], 1989 Printed in the USA. All rights reserved[removed] $3.00 + .(10 Copyright ¢c 1989 Pergamon Press plc

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-08-28 13:18:46
145Mathematics / Perceptron / Rank / Backpropagation / Matrix / Feedforward neural network / Multilayer perceptron / Neural networks / Cybernetics / Science

On the Problem of Local Minima in Back-propagation M. Gori and A. Tesi Presented by Jonathon Smereka Motivation

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-07 13:24:31
146Universal approximation theorem / Stone–Weierstrass theorem / Activation function / Function / Continuous function / Feedforward neural network / Neural networks / Mathematics / Mathematical analysis

“Multilayer feedforward networks are universal approximators” Kur Hornik, Maxwell Stinchcombe and Halber White (1989)

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-09 14:47:01
147Science / 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
148Cybernetics / Generalized Hebbian Algorithm / Principal component analysis / Hebbian theory / Artificial neuron / Eigenvalues and eigenvectors / Feedforward neural network / Matrix / Supervised learning / Neural networks / Algebra / Mathematics

Deep Learning – Fall 2013 Instructor: Bhiksha Raj Paper: T. D. Sanger, “Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network”, Neural Networks, vol. 2, pp[removed], 1989.

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-09-11 13:17:38
149Artificial intelligence / Computational neuroscience / Network architecture / Recurrent neural network / Feedforward neural network / Unsupervised learning / Autoencoder / Supervised learning / Boltzmann machine / Neural networks / Machine learning / Cybernetics

Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle Universit´e de Montr´eal Montr´eal, Qu´ebec {bengioy,lamblinp,popovicd,larocheh}@iro.umontreal.ca

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2013-10-16 13:22:11
150Applied 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
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