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241	Dynamics of learning in deep linear neural networks Andrew M. Saxe ([removed]) Department of Electrical Engineering James L. McClelland ([removed]) Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2013-11-28 10:28:30 Science Backpropagation Autoencoder Feedforward neural network Synaptic weight Artificial neural network Types of artificial neural networks Neural networks Machine learning Cybernetics
242	Marshall Goldsmith FeedForward Tool Person analyzed Roesner, Margie Organization Add to Reading List Source URL: www.marshallgoldsmithfeedforward.com Language: English - Date: 2012-08-04 14:17:47 Data Marshall Goldsmith Feedback Copyright law of the United States Copyright Leadership Star Trek: The Motion Picture Rational temperament Management Control theory Science
243	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
244	READINGS IN DEEP LEARNING 4 Sep 2013 ADMINSTRIVIA • New course numbers[removed]are assigned – Should be up on the hub shortly Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-04 12:05:29 Science Neuroscience Perceptron Feedforward neural network Connectionism Bernard Widrow Hebbian theory Supervised learning Computational neuroscience Neural networks Cybernetics
245	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
246	The left-hand column provides descriptive text. NECESSARY INFORMATION Required product parameters. Service use. Material chemical name. Bulk density – mass/volume – kg/m3 Add to Reading List Source URL: www.feedforward.com.au Language: English - Date: 2003-09-24 00:15:28 Mechanics Bucket elevator Bulk material handling Elevators Bucket Belt Centrifugal force Pulley T-bucket Physics Mechanical engineering Technology
247	2374 © IWA Publishing 2013 Water Science & Technology Add to Reading List Source URL: www.it.uu.se Language: English - Date: 2013-10-11 10:32:40 Cybernetics Technology Sewerage Automation Control engineering Activated sludge Aeration Control system Feedforward control Control theory Systems theory Environmental engineering
248	DOC Document Add to Reading List Source URL: www2.fiit.stuba.sk Language: English - Date: 2005-10-11 09:03:56 Artificial intelligence Frank Rosenblatt Science Feedforward neural network Artificial neuron Neural networks Cybernetics Perceptron
249	Deep Sparse Rectifier Neural Networks Xavier Glorot Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-06-30 04:28:55 Science Artificial neural network Activation function Backpropagation Feedforward neural network Artificial neuron Autoencoder Sigmoid function Boltzmann machine Neural networks Machine learning Cybernetics
250	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-30 16:45:43 Science Feedforward neural network Autoencoder Backpropagation Supervised learning Neural networks Cybernetics Statistics

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