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Neural networks = tricks of the trade /
~
Muller, Klaus-Robert.
Neural networks = tricks of the trade /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Neural networks/ edited by Gregoire Montavon, Genevieve B. Orr, Klaus-Robert Muller.
Reminder of title:
tricks of the trade /
other author:
Montavon, Gregoire.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2012.,
Description:
757 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Neural networks (Computer science) -
Online resource:
http://dx.doi.org/10.1007/978-3-642-35289-8
ISBN:
9783642352898 (electronic bk.)
Neural networks = tricks of the trade /
Neural networks
tricks of the trade /[electronic resource] :edited by Gregoire Montavon, Genevieve B. Orr, Klaus-Robert Muller. - 2nd ed. - Berlin, Heidelberg :Springer Berlin Heidelberg :2012. - 757 p. :ill., digital ;24 cm. - Lecture notes in computer science,77000302-9743 ;. - Lecture notes in computer science ;4930..
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.
ISBN: 9783642352898 (electronic bk.)Subjects--Topical Terms:
89772
Neural networks (Computer science)
LC Class. No.: QA76.87 / .N48 2012
Dewey Class. No.: 006.32
Neural networks = tricks of the trade /
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edited by Gregoire Montavon, Genevieve B. Orr, Klaus-Robert Muller.
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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.
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Computer Science (Springer-11645)
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