Murray Smith – Neural Networks for Statistical Modeling
Murray Smith – Neural Networks for Statistical Modeling
Murray Smith – Neural Networks for Statistical Modeling
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Description
MURRAY SMITH – NEURAL NETWORKS FOR STATISTICAL MODELING
The technical explanation of the inner workings of backpropagation of errors is provided in this book.
The book is for programmers who want to implement backprop or data miners who want to understand it. The book is not suitable for people without a technical background.
PROS:
Pseudocode is provided.
Enhancements like adaptive step size and momentum are included in the explanation.
Practical issues such as appropriate data representation and avoidance of over-fitting are covered.
There are a few alternative architectures explained at the end of the book.
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