Improving Network Models and Algorithmic Tricks (Englisch)
- Neue Suche nach: Müller, Klaus-Robert
- Neue Suche nach: Müller, Klaus-Robert
In:
Neural Networks: Tricks of the Trade
4
;
139-141
;
2012
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Improving Network Models and Algorithmic Tricks
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Beteiligte:Müller, Klaus-Robert ( Autor:in )
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Erschienen in:Neural Networks: Tricks of the Trade , 4 ; 139-141Lecture Notes in Computer Science ; 7700, 4 ; 139-141
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Verlag:
- Neue Suche nach: Springer Berlin Heidelberg
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Erscheinungsort:Berlin, Heidelberg
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Erscheinungsdatum:01.01.2012
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Format / Umfang:3 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
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IntroductionMüller, Klaus-Robert et al. | 2012
- 7
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Speeding LearningMüller, Klaus-Robert et al. | 2012
- 9
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Efficient BackPropLeCun, Yann A. / Bottou, Léon / Orr, Genevieve B. / Müller, Klaus-Robert et al. | 2012
- 49
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Regularization Techniques to Improve GeneralizationMüller, Klaus-Robert et al. | 2012
- 53
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Early Stopping — But When?Prechelt, Lutz et al. | 2012
- 69
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A Simple Trick for Estimating the Weight Decay ParameterRögnvaldsson, Thorsteinn S. et al. | 2012
- 91
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Controlling the Hyperparameter Search in MacKay’s Bayesian Neural Network FrameworkPlate, Tony et al. | 2012
- 111
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Adaptive Regularization in Neural Network ModelingLarsen, Jan / Svarer, Claus / Andersen, Lars Nonboe / Hansen, Lars Kai et al. | 2012
- 131
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Large Ensemble AveragingHorn, David / Naftaly, Ury / Intrator, Nathan et al. | 2012
- 139
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Improving Network Models and Algorithmic TricksMüller, Klaus-Robert et al. | 2012
- 143
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Square Unit Augmented, Radially Extended, Multilayer PerceptronsFlake, Gary William et al. | 2012
- 163
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A Dozen Tricks with Multitask LearningCaruana, Rich et al. | 2012
- 191
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Solving the Ill-Conditioning in Neural Network LearningSmagt, Patrick / Hirzinger, Gerd et al. | 2012
- 205
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Centering Neural Network Gradient FactorsSchraudolph, Nicol N. et al. | 2012
- 225
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Avoiding Roundoff Error in Backpropagating DerivativesPlate, Tony et al. | 2012
- 231
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Representing and Incorporating Prior Knowledge in Neural Network TrainingMüller, Klaus-Robert et al. | 2012
- 235
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Transformation Invariance in Pattern Recognition – Tangent Distance and Tangent PropagationSimard, Patrice Y. / LeCun, Yann A. / Denker, John S. / Victorri, Bernard et al. | 2012
- 271
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Combining Neural Networks and Context-Driven Search for On-line, Printed Handwriting Recognition in the NewtonYaeger, Larry S. / Webb, Brandyn J. / Lyon, Richard F. et al. | 2012
- 295
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Neural Network Classification and Prior Class ProbabilitiesLawrence, Steve / Burns, Ian / Back, Andrew / Tsoi, Ah Chung / Giles, C. Lee et al. | 2012
- 311
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Applying Divide and Conquer to Large Scale Pattern Recognition TasksFritsch, Jürgen / Finke, Michael et al. | 2012
- 339
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Tricks for Time SeriesMüller, Klaus-Robert et al. | 2012
- 343
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Forecasting the Economy with Neural Nets: A Survey of Challenges and SolutionsMoody, John et al. | 2012
- 369
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How to Train Neural NetworksNeuneier, Ralph / Zimmermann, Hans Georg et al. | 2012
- 419
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Big Learning and Deep Neural NetworksMontavon, Grégoire / Müller, Klaus-Robert et al. | 2012
- 421
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Stochastic Gradient Descent TricksBottou, Léon et al. | 2012
- 437
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Practical Recommendations for Gradient-Based Training of Deep ArchitecturesBengio, Yoshua et al. | 2012
- 479
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Training Deep and Recurrent Networks with Hessian-Free OptimizationMartens, James / Sutskever, Ilya et al. | 2012
- 537
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Implementing Neural Networks EfficientlyCollobert, Ronan / Kavukcuoglu, Koray / Farabet, Clément et al. | 2012
- 559
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Better Representations: Invariant, Disentangled and ReusableMontavon, Grégoire / Müller, Klaus-Robert et al. | 2012
- 561
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Learning Feature Representations with K-MeansCoates, Adam / Ng, Andrew Y. et al. | 2012
- 581
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Deep Big Multilayer Perceptrons for Digit RecognitionCireşan, Dan Claudiu / Meier, Ueli / Gambardella, Luca Maria / Schmidhuber, Jürgen et al. | 2012
- 599
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A Practical Guide to Training Restricted Boltzmann MachinesHinton, Geoffrey E. et al. | 2012
- 621
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Deep Boltzmann Machines and the Centering TrickMontavon, Grégoire / Müller, Klaus-Robert et al. | 2012
- 639
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Deep Learning via Semi-supervised EmbeddingWeston, Jason / Ratle, Frédéric / Mobahi, Hossein / Collobert, Ronan et al. | 2012
- 657
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Identifying Dynamical Systems for Forecasting and ControlMontavon, Grégoire / Müller, Klaus-Robert et al. | 2012
- 659
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A Practical Guide to Applying Echo State NetworksLukoševičius, Mantas et al. | 2012
- 687
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Forecasting with Recurrent Neural Networks: 12 TricksZimmermann, Hans-Georg / Tietz, Christoph / Grothmann, Ralph et al. | 2012
- 709
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Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural NetworksDuell, Siegmund / Udluft, Steffen / Sterzing, Volkmar et al. | 2012
- 735
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10 Steps and Some Tricks to Set up Neural Reinforcement ControllersRiedmiller, Martin et al. | 2012