Abstract
It is our belief that researchers and practitioners acquire, through experience and word-of-mouth, techniques and heuristics that help them successfully apply neural networks to difficult real world problems. Often these “tricks” are theoretically well motivated. Sometimes they are the result of trial and error. However, their most common link is that they are usually hidden in people’s heads or in the back pages of space-constrained conference papers. As a result newcomers to the field waste much time wondering why their networks train so slowly and perform so poorly.
Previously published in: Orr, G.B. and Müller, K.-R. (Eds.): LNCS 1524, ISBN 978-3-540-65311-0 (1998).
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© 2012 Springer-Verlag Berlin Heidelberg
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Müller, KR. (2012). Introduction. In: Montavon, G., Orr, G.B., Müller, KR. (eds) Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science, vol 7700. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35289-8_1
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DOI: https://doi.org/10.1007/978-3-642-35289-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35288-1
Online ISBN: 978-3-642-35289-8
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