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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++
Index
activation
arctangent function 17, 81
derivative 94
evaluating 92
function, general 79, 80
hyperbolic tangent function 17, 81
logistic function 16, 81
training output 16, 20
allele 137
alternative hypothesis 351, 364, 390
annealing 118
arctangent activation function 17, 81
attention-based processing 239
autoassociative
filter 24
network 23
backpropagation 96
training algorithm 100, 103
balancing training classes 251
Bayes' theorem 377
Bayesian confidence 376
versus hypothesis testing 384
binary
classification 16
encoding classes 20
encoding data 43
chromosome 136
circular discontinuity 270
classification 16
binary 16
encoding schemes
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Publisher Resources

ISBN: 9780080514338