Preface
This section contains 5 chapters presenting easy to implement tricks which modify either the architecture and/or the learning algorithm so as to enhance the network’s modeling ability. Better modeling means better solutions in less time.
Previously published in: Orr, G.B. and Müller, K.-R. (Eds.): LNCS 1524, ISBN 978-3-540-65311-0 (1998).
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Hochreiter, S., Schmidhuber, J.: Flat minima. Neural Computation 9(1), 1–42 (1997)
Schölkopf, B., Smola, A., Müller, K.-R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10, 1299–1319 (1998)
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Müller, KR. (2012). Improving Network Models and Algorithmic Tricks. 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_10
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DOI: https://doi.org/10.1007/978-3-642-35289-8_10
Publisher Name: Springer, Berlin, Heidelberg
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