Neural Networks: Tricks of the Trade
Editors: Montavon, Grégoire, Orr, Geneviève, Müller, Klaus-Robert (Eds.)
Free Preview- The second edition of the book "reloads" the first edition with more tricks
- Provides a timely snapshot of tricks, theory and algorithms that are of use
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- About this book
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The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines.
The second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers. These tricks can make a substantial difference (in terms of speed, ease of implementation, and accuracy) when it comes to putting algorithms to work on real problems.
- Table of contents (39 chapters)
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Introduction
Pages 1-5
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Speeding Learning
Pages 7-8
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Efficient BackProp
Pages 9-48
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Regularization Techniques to Improve Generalization
Pages 49-51
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Early Stopping — But When?
Pages 53-67
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Table of contents (39 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Neural Networks: Tricks of the Trade
- Editors
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- Grégoire Montavon
- Geneviève Orr
- Klaus-Robert Müller
- Series Title
- Theoretical Computer Science and General Issues
- Series Volume
- 7700
- Copyright
- 2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-35289-8
- DOI
- 10.1007/978-3-642-35289-8
- Softcover ISBN
- 978-3-642-35288-1
- Edition Number
- 2
- Number of Pages
- XII, 769
- Number of Illustrations
- 223 b/w illustrations
- Topics
