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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++
44
Chapter 3
Data Compression
Three-layer feedforward networks trainedfor autoassociative recall are
sometimes used for data compression. These networks are discussed
in detail starting on page 77, so their inner workings will be glossed
over here. All that is important to understand at this point is that
this model consists of the usual hypothetical input layer and the
actual output layer, with a single layer of neurons hidden between the
input and output
layers.
In general, there are far fewer neurons in the
hidden layer than in the input and output layers. A three-layer
feedforward network having six input and output neurons and two
hidden-laye ...
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Publisher Resources

ISBN: 9780080514338