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Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
Appendix
453
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 KohNet::copy weights ( KohNet *dest . KohNet *source )
{
1nt n ;
dest->neterr - source->neterr ;
1f (source->exe && dest->exe) // These may be Important too!
memcpy ( dest->confuslon . source->confusi on . (nout+1) * slzeofdnt) )
n - nout * (n1n+l) ;
memcpy ( dest->out coefs . source->out coefs . n * s1zeof(doubl
e)
) ;
zero weights - Zero all weights 1n a network
void KohNet::zero weights ()
{
1nt n ;
neterr —1.0 ;
n - nout * ...
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Publisher Resources

ISBN: 9780080514338