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31	Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2009-05-25 10:34:00 Artificial neural networks Machine learning Applied mathematics Cybernetics Long short-term memory Recurrent neural network Artificial intelligence Handwriting recognition Feedforward neural network Backpropagation through time Backpropagation Brain
32	Marshall Goldsmith Library: Try Feedforward Instead of Feedback Add to Reading List Source URL: www.summary.com Language: English - Date: 2009-05-29 15:41:59
33	A cricket-inspired Neural Network For FeedForward Compensation and Multisensory Integration Paolo Russo, Barbara Webb, Richard Reeve, Paolo Arena, Luca Patan´e Abstract— A nonlinear feedforward compensator was designe Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2005-11-14 09:21:36
34	30 Years of Adaptive Neural Networks: Perceptron, Madaline, and Backpropagation BERNARD WIDROW, FELLOW, IEEE, Add to Reading List Source URL: www-isl.stanford.edu Language: English - Date: 2008-03-07 20:14:11 Artificial neural networks Machine learning Applied mathematics Cybernetics ADALINE Artificial neuron Perceptron Madaline Backpropagation Feedforward neural network Activation function Bernard Widrow
35	Univerzita Karlova v Praze Matematicko-fyzik´aln´ı fakulta ´ PRACE ´ DIPLOMOVA Add to Reading List Source URL: s3-eu-west-1.amazonaws.com Language: English - Date: 2015-03-31 02:55:44 Artificial neural networks Neuroscience Applied mathematics Cybernetics Backpropagation Artificial neuron Feedforward neural network Neuron Activation function Sigmoid function Biological neural network Convolutional neural network
36	Bilingual Continuous Space Language Model Hieu H. Pham – Hung Tan Tran – Abstract We attempt using simple feedforward neural networks to learn a continuous space language mo Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2014-01-04 21:44:19
37	On the number of response regions of deep feedforward networks with piecewise linear activations arXiv:1312.6098v5 [cs.LG] 14 Feb 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-17 03:20:51 Artificial neural networks Mathematics Geometry Applied mathematics Arrangement of hyperplanes Rectifier Multilayer perceptron Artificial neuron Activation function Perceptron Deep learning Hyperplane
38	Feedforward theories of visual cortex predict human performance in rapid image categorization Thomas Serre Center for Biological and Computational Learning McGovern Institute for Brain Research Add to Reading List Source URL: suns.mit.edu Language: English - Date: 2006-02-21 17:55:18
39	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model
40	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Artificial neural networks Neuroscience Applied mathematics Cybernetics Multilayer perceptron Perceptrons Biological neural network Brain Roberto Battiti Sigmoid function Feedforward neural network Types of artificial neural networks

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