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Neural Networks: Tricks of the Trade

Neural Networks: Tricks of the Trade

Book SeriesLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg
ISSN0302-9743 (Print) 1611-3349 (Online)
VolumeVolume 1524/1998
DOI10.1007/3-540-49430-8
Copyright1998
ISBN978-3-540-65311-0
Subject CollectionComputer Science
SpringerLink DateThursday, July 31, 2003
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18 Chapters
Front Matter

Front MatterPDF (168.2 KB)

  
Chapter
Introduction
DOI: 10.1007/3-540-49430-8_1
Full TextPDF (200.1 KB)
 547
Chapter
Efficient BackProp
Yann LeCun, Leon Bottou, Genevieve B. Orr and Klaus -Robert Müller
DOI: 10.1007/3-540-49430-8_2
Full TextPDF (1,007.6 KB)
 546
Chapter
Early Stopping - But When?
Lutz Prechelt
DOI: 10.1007/3-540-49430-8_3
Full TextPDF (654.6 KB)
 553
Chapter
A Simple Trick for Estimating the Weight Decay Parameter
Thorsteinn S. Rognvaldsson
DOI: 10.1007/3-540-49430-8_4
Full TextPDF (730.3 KB)
 544
Chapter
Controlling the hyperparameter search in MacKay’s Bayesian neural network framework
Tony Plate
DOI: 10.1007/3-540-49430-8_5
Full TextPDF (1.2 MB)
 548-549
Chapter
Adaptive Regularization in Neural Network Modeling
Jan Larsen, Claus Svarer, Lars Nonboe Andersen and Lars Kai Hansen
DOI: 10.1007/3-540-49430-8_6
Full TextPDF (798.9 KB)
 546
Chapter
Large Ensemble Averaging
David Horn, Ury Naftaly and Nathan Intrator
DOI: 10.1007/3-540-49430-8_7
Full TextPDF (533.5 KB)
 549
Chapter
Square Unit Augmented Radially Extended Multilayer Perceptrons
Gary William Flake
DOI: 10.1007/3-540-49430-8_8
Full TextPDF (1.7 MB)
 552
Chapter
A Dozen Tricks with Multitask Learning
Rich Caruana
DOI: 10.1007/3-540-49430-8_9
Full TextPDF (710.1 KB)
 550-551
Chapter
Solving the Ill-Conditioning in Neural Network Learning
Patrick van der Smagt and Gerd Hirzinger
DOI: 10.1007/3-540-49430-8_10
Full TextPDF (876.9 KB)
 547
Chapter
Centering Neural Network Gradient Factors
Nicol N. Schraudolph
DOI: 10.1007/3-540-49430-8_11
Full TextPDF (733.8 KB)
 548
Chapter
Avoiding roundoff error in backpropagating derivatives
Tony Plate
DOI: 10.1007/3-540-49430-8_12
Full TextPDF (488.5 KB)
 553
Chapter
Transformation Invariance in Pattern Recognition — Tangent Distance and Tangent Propagation
Patrice Y. Simard, Yann A. LeCun, John S. Denker and Bernard Victorri
DOI: 10.1007/3-540-49430-8_13
Full TextPDF (1,003.5 KB)
 549-550
Chapter
Combining Neural Networks and Context-Driven Search for Online, Printed Handwriting Recognition in the Newton
Larry S. Yaeger, Brandyn J. Webb and Richard F. Lyon
DOI: 10.1007/3-540-49430-8_14
Full TextPDF (787.5 KB)
 548
Chapter
Neural Network Classification and Prior Class Probabilities
Steve Lawrence, Ian Burns, Andrew Back, Ah Chung Tsoi and C. Lee Giles
DOI: 10.1007/3-540-49430-8_15
Full TextPDF (712.6 KB)
 545
Chapter
Applying Divide and Conquer to Large Scale Pattern Recognition Tasks
Jürgen Fritsch and Michael Finke
DOI: 10.1007/3-540-49430-8_16
Full TextPDF (894.0 KB)
 551
Chapter
Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions
John Moody
DOI: 10.1007/3-540-49430-8_17
Full TextPDF (923.3 KB)
 545
Chapter
How to Train Neural Networks
Ralph Neuneier and Hans Georg Zimmermann
DOI: 10.1007/3-540-49430-8_18
Full TextPDF (957.0 KB)
 550
Back Matter

Back MatterPDF (99.1 KB)

  
18 Chapters
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