Autoencoder

Results: 93



#Item
61Autoencoder / Activation function / Science / Neuroscience / Applied mathematics / Neural networks / Artificial neuron / Feedforward neural network

Sparse Combinatorial Autoencoders Karthik S. Narayan, Pieter Abbeel Electrical Engineering and Computer Science University of California, Berkeley Berkeley, CA 94709 , ele

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2015-03-28 21:02:43
62Artificial intelligence / Backpropagation / Perceptron / Supervised learning / Artificial neural network / Boltzmann machine / Artificial neuron / Pattern recognition / Autoencoder / Neural networks / Machine learning / Cybernetics

Department of Computer Science University of Toronto http://learning.cs.toronto.edu 6 King’s College Rd, Toronto M5S 3G4, Canada

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Source URL: www.cs.toronto.edu

Language: English - Date: 2006-10-26 18:34:02
63Computational statistics / Boltzmann machine / Autoencoder / Information theory / Expectation–maximization algorithm / Perceptron / Backpropagation / Autoregressive conditional heteroskedasticity / Importance sampling / Neural networks / Statistics / Machine learning

arXiv:1310.8499v2 [cs.LG] 20 May[removed]Deep AutoRegressive Networks Karol Gregor Ivo Danihelka

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Source URL: arxiv.org

Language: English - Date: 2014-05-20 20:36:13
64Functions and mappings / Neural networks / Digital circuits / Autoencoder / Encoder / Vector space / Derivative / Logarithm / Matrix decoder / Mathematics / Algebra / Linear algebra

Saturating Auto-Encoders arXiv:1301.3577v3 [cs.LG] 20 Mar 2013 Rostislav Goroshin ∗ Courant Institute of Mathematical Science

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Source URL: yann.lecun.com

Language: English - Date: 2013-04-21 06:13:28
65Science / Network architecture / Neuroscience / Artificial intelligence / Econometrics / Yann LeCun / Recurrent neural network / Canadian Institute for Advanced Research / Autoencoder / Neural networks / Cybernetics / Computational neuroscience

arXiv:1312.1847v2 [cs.LG] 19 Feb[removed]Understanding Deep Architectures using a Recursive Convolutional Network David Eigen Jason Rolfe Rob Fergus Yann LeCun Dept. of Computer Science, Courant Institute, New York Univers

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Source URL: yann.lecun.com

Language: English - Date: 2014-04-20 13:03:45
66Statistics / Supervised learning / Autoencoder / Artificial neuron / Backpropagation / Artificial neural network / Types of artificial neural networks / Neural networks / Machine learning / Cybernetics

Summary and discussion of: “Why Does Unsupervised Pre-training Help Deep Learning?” Statistics Journal Club, [removed]Avinava Dubey and Mrinmaya Sachan and Jerzy Wieczorek December 3, 2014

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Source URL: www.stat.cmu.edu

Language: English - Date: 2014-12-19 10:30:49
67Computational statistics / Science / Statistics / Artificial neural network / Mel-frequency cepstrum / Autoencoder / Segmentation / Speech recognition / Network architecture / Neural networks / Computational neuroscience / Cybernetics

A Deep Neural Network Approach to the LifeCLEF 2014 Bird task Hendrik Vincent Koops, Jan van Balen, and Frans Wiering Utrecht University Department of Information and Computing Sciences {h.v.koops,j.m.h.vanbalen,f.wierin

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 10:42:24
68Science / Backpropagation / Artificial neuron / Activation function / Autoencoder / Sigmoid function / Connectionism / Logistic regression / Feedforward neural network / Neural networks / Cybernetics / Statistics

Deep Learning Lab #1 Part 2: Neural Networks Anders Øland ([removed]) September 4, 2013

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Source URL: deeplearning.cs.cmu.edu

Language: English - Date: 2014-09-08 07:58:30
69Neuroscience / Autoencoder / Speech recognition / Boltzmann machine / Activation function / Sigmoid function / Connectionism / Types of artificial neural networks / Neural networks / Cybernetics / Science

INVESTIGATION OF MAXOUT NETWORKS FOR SPEECH RECOGNITION Pawel Swietojanski∗ Jinyu Li, Jui-Ting Huang Centre for Speech Technology Research

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2014-06-05 18:27:07
70Stochastic gradient descent / Stochastic optimization / Statistics

NIPS workshop 2011 Optimization Challenge Average Stochastic Gradient Descent for Autoencoder Sixin Zhang, Clément Farabet, Marco Scoffier,

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Source URL: pub.clement.farabet.net

Language: English - Date: 2013-07-18 17:55:37
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