Name: Neural Networks: Tricks of the Trade By Gregoire Montavon
SKU: 9783642352881
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Neural Networks: Tricks of the Trade Summary

Neural Networks: Tricks of the Trade by Gregoire Montavon

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.

Introduction.- Preface on Speeding Learning.- 1. Efficient BackProp.- Preface on Regularization Techniques to Improve Generalization.- 2. Early Stopping - But When?.- 3. A Simple Trick for Estimating the Weight Decay Parameter.- 4. Controlling the Hyperparameter Search in MacKay's Bayesian Neural Network Framework.- 5. Adaptive Regularization in Neural Network Modeling.- 6. Large Ensemble Averaging.- Preface on Improving Network Models and Algorithmic Tricks.- 7. Square Unit Augmented, Radially Extended, Multilayer Perceptrons.- 8. A Dozen Tricks with Multitask Learning.- 9. Solving the Ill-Conditioning in Neural Network Learning.- 10. Centering Neural Network Gradient Factors.- 11. Avoiding Roundoff Error in Backpropagating Derivatives.- 12. Transformation Invariance in Pattern Recognition -Tangent Distance and Tangent Propagation.- 13. Combining Neural Networks and Context-Driven Search for On-line, Printed Handwriting Recognition in the Newtons.- 14. Neural Network Classification and Prior Class Probabilities.- 15. Applying Divide and Conquer to Large Scale Pattern Recognition Tasks.- Preface on Tricks for Time Series.- 16. Forecasting the Economy with Neural Nets: A Survey of Challenges and Solutions.- 17. How to Train Neural Networks.- Preface on Big Learning in Deep Neural Networks.- 18. Stochastic Gradient Descent Tricks.- 19. Practical Recommendations for Gradient-Based Training of Deep Architectures.- 20. Training Deep and Recurrent Networks with Hessian-Free Optimization.- 21. Implementing Neural Networks Efficiently.- Preface on Better Representations: Invariant, Disentangled and Reusable.- 22. Learning Feature Representations with K-Means.- 23. Deep Big Multilayer Perceptrons for Digit Recognition.- 24. A Practical Guide to Training Restricted Boltzmann Machines.- 25. Deep Boltzmann Machines and the Centering Trick.- 26. Deep Learning via Semi-supervised Embedding.- Preface on Identifying Dynamical Systems for Forecasting and Control.- 27. A Practical Guide to Applying Echo State Networks.- 28. Forecasting with Recurrent Neural Networks: 12 Tricks.- 29. Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks.- 30. 10 Steps and Some Tricks to Set up Neural Reinforcement Controllers.

Additional information

Sku

NLS9783642352881

ISBN 13

9783642352881

ISBN 10

364235288X

Title

Neural Networks: Tricks of the Trade by Gregoire Montavon

Author

Gregoire Montavon

Series

Lecture Notes in Computer Science

Condition

New

Binding type

Paperback

Publisher

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Year published

2012-11-06

Number of pages

769

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Neural Networks: Tricks of the Trade Gregoire Montavon

Neural Networks: Tricks of the Trade by Gregoire Montavon

Summary

Neural Networks: Tricks of the Trade Summary

Neural Networks: Tricks of the Trade by Gregoire Montavon

Table of Contents

Additional information

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