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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
232
Chapter 14
Some problems are so complex, involving so much data of such diverse
variety, and/or in such complex relationships, that a single neural
network may not be practical. If we are using a multilayer feed-
forward network because of its run-time speed, the training time may
be too long. If we are using a probabilistic neural net to avoid long
training, or perhaps because we desire Bayesian confidences, run-time
speed may be unacceptably slow. It may even be that our problem
simply breaks down into several parts in a natural way, and we are
interested in exploiting that physical structure. These are the
principal reasons for considerin ...
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Publisher Resources

ISBN: 9780080514338