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Neural Networks

  • Alex Graves
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 385)

Abstract

This chapter provides an overview of artificial neural networks, with emphasis on their application to classification and labelling tasks. Section 3.1 reviews multilayer perceptrons and their application to pattern classification. Section 3.2 reviews recurrent neural networks and their application to sequence labelling. It also describes the sequential Jacobian, an analytical tool for studying the use of context information. Section 3.3 discusses various issues, such as generalisation and input data representation, that are essential to effective network training.

Keywords

Hide Layer Loss Function Gradient Descent Recurrent Neural Network Network Training 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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