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11	Neural networks Feedforward neural network - activation function September Abstract6, 2012 Add to Reading List Source URL: dl.dropboxusercontent.com
12	Neural networks Feedforward neural network - capacity of single neuron • h(x) = g(a(x)) = g(bi i wixi) Abstract Add to Reading List Source URL: dl.dropboxusercontent.com
13	Feedforward semantic segmentation with zoom-out features Mohammadreza Mostajabi, Payman Yadollahpour and Gregory Shakhnarovich Toyota Technological Institute at Chicago {mostajabi,pyadolla,greg}@ttic.edu Abstract Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-05-25 21:18:50
14	NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text Samuel P. Leeman-Munk James C. Lester Center for Educational Informatics North Carolina State University Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:09 Artificial neural networks Cybernetics Applied mathematics Artificial intelligence Deep learning Convolutional neural network Feature learning Backpropagation Autoencoder Artificial neuron Feedforward neural network
15	arXiv:1506.00019v4 [cs.LG] 17 OctA Critical Review of Recurrent Neural Networks for Sequence Learning Zachary C. Lipton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-19 21:37:55 Artificial neural networks Cybernetics Applied mathematics Machine learning Recurrent neural network Deep learning Feedforward neural network Long short-term memory Convolutional neural network Backpropagation Connectionism Restricted Boltzmann machine
16	Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata and Carina Silberer Assignment 1: Perceptrons and Neural Networks Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-03 16:40:11 Artificial neural networks Applied mathematics Cybernetics Learning Perceptron Feedforward neural network Statistical classification Backpropagation Activation function Multilayer perceptron Probabilistic neural network
17	Perceptrons Informatics 1 CG: Lecture 5 Reading: Mirella Lapata Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:51:51 Artificial neural networks Neuroscience Cybernetics Applied mathematics Perceptron Multilayer perceptron Connectionism Artificial neuron Frank Rosenblatt Activation function Biological neural network Feedforward neural network
18	Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-31 15:41:31 Artificial neural networks Multilayer perceptron Feedforward neural network Perceptron Backpropagation Artificial neuron Activation function Connectionism Extreme learning machine Convolutional neural network
19	Artificial Neural Networks Martin Anthony Abstract ‘Artificial neural networks’ are machines (or models of computation) based loosely on the ways in which the brain is believed to work. In this chapter, we discuss so Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:18:14 Artificial neural networks Feedforward neural network Perceptron Boltzmann machine Backpropagation Supervised learning Artificial neuron Restricted Boltzmann machine Deep learning

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