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Dropout Rademacher Complexity of Deep Neural Networks

Dropout Rademacher Complexity of Deep Neural Networks

16 February 2014
Wei Gao
Zhi Zhou
ArXivPDFHTML

Papers citing "Dropout Rademacher Complexity of Deep Neural Networks"

5 / 5 papers shown
Title
A PAC-Bayesian Tutorial with A Dropout Bound
A PAC-Bayesian Tutorial with A Dropout Bound
David A. McAllester
83
140
0
08 Jul 2013
Dropout Training as Adaptive Regularization
Dropout Training as Adaptive Regularization
Stefan Wager
Sida I. Wang
Percy Liang
129
599
0
04 Jul 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
453
7,663
0
03 Jul 2012
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
162
3,942
0
13 Feb 2012
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
D. Ciresan
U. Meier
L. Gambardella
Jürgen Schmidhuber
114
993
0
01 Mar 2010
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