Titlebook: Neural Networks: Tricks of the Trade; Grégoire Montavon,Geneviève B. Orr,Klaus-Robert Mü Book 2012Latest edition Springer-Verlag Berlin He

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Grégoire Montavon,Geneviève B. Orr,Klaus-Robert MüThe 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

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Regularization Techniques to Improve GeneralizationGood tricks for regularization are extremely important for improving the generalization ability of neural networks. The first and most commonly used trick is ., which was originally described in [11].

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Improving Network Models and Algorithmic TricksThis 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.

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Representing and Incorporating Prior Knowledge in Neural Network TrainingThe present section focuses on tricks for four important aspects in learning: (1) incorporation of prior knowledge, (2) choice of representation for the learning task, (3) unequal class prior distributions, and finally (4) large network training.

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