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Autoencoder
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41	Understanding the difficulty of training deep feedforward neural networks Xavier Glorot Yoshua Bengio DIRO, Universit´e de Montr´eal, Montr´eal, Qu´ebec, Canada Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-03-31 18:50:33 Mathematics Recurrent neural network Artificial neural network Feedforward neural network Activation function Backpropagation Sigmoid function Autoencoder Logistic function Neural networks Cybernetics Science
42	On the importance of initialization and momentum in deep learning Ilya Sutskever1 James Martens George Dahl Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-14 14:30:22 Mathematics Mathematical optimization Stochastic gradient descent Convex optimization Gradient descent Backpropagation Perceptron Gradient method Autoencoder Neural networks Numerical analysis Applied mathematics
43	Department of Computer Science On the use of Cortical Principles in Deep Learning Benjamin Pryke __________________________________________ Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Statistics Spiking neural network Backpropagation Feedforward neural network Synaptic weight Autoencoder Artificial neural network Types of artificial neural networks Neural networks Cybernetics Science
44	Adaptive dropout for training deep neural networks Lei Jimmy Ba Brendan Frey Department of Electrical and Computer Engineering University of Toronto jimmy, Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:08:01 Artificial intelligence Computational neuroscience Computational statistics Autoencoder Artificial neural network Supervised learning Unsupervised learning Boltzmann machine Backpropagation Neural networks Machine learning Statistics
45	Pedestrian Parsing via Deep Decompositional Network Ping Luo1,3 Xiaogang Wang2 Xiaoou Tang1,3∗ 1 Department of Information Engineering, The Chinese University of Hong Kong Add to Reading List Source URL: mmlab.ie.cuhk.edu.hk Language: English - Date: 2013-12-19 01:46:14 Autoencoder THE multiprogramming system Parsing Network architecture Electronic engineering Neural networks Pedestrian detection Surveillance
46	Do Deep Nets Really Need to be Deep? Rich Caruana Microsoft Research Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-20 14:19:55 Science Boltzmann machine Overfitting Autoencoder Speech recognition Canadian Institute for Advanced Research Backpropagation MIMIC Neural networks Statistics Cybernetics
47	Deep Boltzmann Machines as Feed-Forward Hierarchies Gr´ egoire Montavon Machine Learning Group TU Berlin Add to Reading List Source URL: gregoire.montavon.name Language: English - Date: 2012-02-14 06:18:21 Artificial intelligence Autoencoder Boltzmann machine DBm Geoffrey Hinton Deep learning Neural networks Machine learning Science
48	T RAINING R ECURRENT N EURAL N ETWORKS by Ilya Sutskever Add to Reading List Source URL: www.cs.utoronto.ca Language: English - Date: 2013-01-10 22:14:39 Science Boltzmann machine Recurrent neural network Artificial neural network Geoffrey Hinton Autoencoder Feedforward neural network Conference on Neural Information Processing Systems Backpropagation Neural networks Machine learning Cybernetics
49	PDF Document Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-03-19 23:10:51 Science Networks Computational neuroscience Network architecture Backpropagation Early stopping Autoencoder Boltzmann machine Bayesian network Neural networks Statistics Machine learning

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