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Neural Networks: Tricks of the Trade

  • Book
  • © 2012
  • Latest edition


  • 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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7700)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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About this book

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.

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Table of contents (39 chapters)

  1. Introduction

  2. Speeding Learning

  3. Regularization Techniques to Improve Generalization

  4. Improving Network Models and Algorithmic Tricks

  5. Representing and Incorporating Prior Knowledge in Neural Network Training

Editors and Affiliations

  • Dept. of Computer Science, Technische Universität Berlin, Berlin, Germany

    Grégoire Montavon, Klaus-Robert Müller

  • Dept. of computer Science, Willamette University, Salem, USA

    Geneviève B. Orr

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