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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++
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21
elsewhere. At this point, we are simply dealing with a black box
having three photographic inputs and sufficient outputs to determine
a blood type. In problems of this type, it is better to use the more
compact binary encoding for output classes.
There is no reason to limit compact encoding to binary
subclasses, although the situation can rapidly become quite complex.
Serious consideration should be given to separate subclasses whenever
the classes are separable. For example, consider a network that must
listen to a spoken sound and provide some classification information.
Its task might be to decide whether the startin ...
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Publisher Resources

ISBN: 9780080514338