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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++
Appendix
463
copy weights - Copy the weights from one network to another
Note that this 1s NOT like a copy or assignment,
as 1t does not copy other parameters. In fact,
1t gets sizes from the calling Instance!
void LayerNet::copy weights ( LayerNet *dest , LayerNet *source )
{
1nt n ;
dest->neterr source->neterr ;
1f (source->exe && dest->exe) // These may be Important too!
memcpy ( dest->confusi on . source->confusi on . (nout+1) * slzeofdnt) )
1f (nhldl 0) { // No hidden layer
n - nout * (n1n+l) ;
memcpy ( dest->out coefs , source->out coefs , n * s1zeof(doubl e) ) ;
else 1f (nh1d2 0) { // One hidden layer
n - nhldl * (n1n+l) ;
memcp ...
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Publisher Resources

ISBN: 9780080514338