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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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29
The above code is straightforward. It starts by zeroing the
output array, where the sum of all window presentations will be
cumulated to form the filtered output. Then, the presentations are
done with a sliding window. The last step is to divide each sum in the
filtered output array by the number of presentations that went into
that sum, to get a mean. The maximum possible number in each sum
is the lesser of the total number of presentations and the width of the
window. The first and last filtered points will each have only one
presentation. The next points in will each have two components in
their sum. The next will hav
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Publisher Resources

ISBN: 9780080514338