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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++
Evaluating Performance of Neural Networks
351
ROC (Receiver Operating Characteristic) Curves
A common use for neural networks is detecting the presence of a
condition. The network is trained to produce a low activation level if
the condition is absent, and a high level if it is present. Often, for lack
of any apparently better
choice,
a threshold of half-activation is chosen
for making the decision. If an unknown case activates the output
neuron to at least half of full activation, it is decided that the condition
is present. Otherwise, conclude that it is absent. Some of the
techniques previously described in this chapter can be used
to
evaluat ...
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Publisher Resources

ISBN: 9780080514338