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Publication search results
found 40 matches
- 2012
- Yoshua Bengio:
Practical Recommendations for Gradient-Based Training of Deep Architectures. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 437-478 - Léon Bottou:
Stochastic Gradient Descent Tricks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 421-436 - Rich Caruana:
A Dozen Tricks with Multitask Learning. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 163-189 - Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Jürgen Schmidhuber:
Deep Big Multilayer Perceptrons for Digit Recognition. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 581-598 - Adam Coates, Andrew Y. Ng:
Learning Feature Representations with K-Means. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 561-580 - Ronan Collobert, Koray Kavukcuoglu, Clément Farabet:
Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 537-557 - Siegmund Duell, Steffen Udluft, Volkmar Sterzing:
Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 709-733 - Gary William Flake:
Square Unit Augmented, Radially Extended, Multilayer Perceptrons. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 143-161 - Jürgen Fritsch, Michael Finke:
Applying Divide and Conquer to Large Scale Pattern Recognition Tasks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 311-338 - Geoffrey E. Hinton:
A Practical Guide to Training Restricted Boltzmann Machines. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 599-619 - David Horn, Ury Naftaly, Nathan Intrator:
Large Ensemble Averaging. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 131-137 - Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen:
Adaptive Regularization in Neural Network Modeling. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 111-130 - Steve Lawrence, Ian Burns, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles:
Neural Network Classification and Prior Class Probabilities. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 295-309 - Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller:
Efficient BackProp. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 9-48 - Mantas Lukosevicius:
A Practical Guide to Applying Echo State Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 659-686 - James Martens, Ilya Sutskever:
Training Deep and Recurrent Networks with Hessian-Free Optimization. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 479-535 - Grégoire Montavon, Klaus-Robert Müller:
Big Learning and Deep Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 419-420 - Grégoire Montavon, Klaus-Robert Müller:
Better Representations: Invariant, Disentangled and Reusable. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 559-560 - Grégoire Montavon, Klaus-Robert Müller:
Deep Boltzmann Machines and the Centering Trick. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 621-637 - Grégoire Montavon, Klaus-Robert Müller:
Identifying Dynamical Systems for Forecasting and Control. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 657-658 - John Moody:
Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 343-367 - Klaus-Robert Müller:
Introduction. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 1-5 - Klaus-Robert Müller:
Speeding Learning. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 7-8 - Klaus-Robert Müller:
Regularization Techniques to Improve Generalization. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 49-51 - Klaus-Robert Müller:
Improving Network Models and Algorithmic Tricks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 139-141 - Klaus-Robert Müller:
Representing and Incorporating Prior Knowledge in Neural Network Training. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 231-233 - Klaus-Robert Müller:
Tricks for Time Series. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 339-341 - Ralph Neuneier, Hans-Georg Zimmermann:
How to Train Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 369-418 - Tony Plate:
Controlling the Hyperparameter Search in MacKay's Bayesian Neural Network Framework. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 91-110 - Tony Plate:
Avoiding Roundoff Error in Backpropagating Derivatives. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 225-230
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