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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++
468
Appendix
}
tot err - 0.0 ; // Total error will be cumulated here
for (tset-0 ; tset<tptr->ntrain ; tset++) { // Do all samples
dptr - tptr->data + size * tset ; // Point to this sample
trial ( dptr ) ; // Evaluate network for it
1f (outmod 0UTM0D AUTO) { // If this 1s AUTOASSOCIATIVE
for (1-0 ; Knout ; 1++) { // then the expected outputs
d1ff - *dptr++ - outC13 ; // are just the Inputs
tot err ·+- d1ff * d1ff ;
}
}
else 1f (outmod OUTMOD CLASSIFY) { // If this 1s Classification
tclass - (1nt) dptr[n1n] - 1 ; // class 1s stored after Inputs
for (1-0 ; Knout ; 1++) { // Recall that train added a
1f (tclass 1) // fraction so that th
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Publisher Resources

ISBN: 9780080514338