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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++
100
Chapter 6
This section has provided the foundation algorithms for
training a multiple-layer feedforward network. The mean square
error, given an epoch of input presentations and desired output
targets, can be found. The weight gradient vector of this error can also
be computed. All that remains is to apply any of several standard
numerical techniques to optimize the network. The next sections will
focus on the most important such algorithms.
Training by Backpropagation of Errors
Backpropagation was the first practical method for training a multiple-
layer feedforward network. Its presentation in [Rumelhart and
McClelland,
1986]
was almos ...
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Publisher Resources

ISBN: 9780080514338