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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++
428
Appendix
void
1n
norm
(
double *1nput
.
double *normfac
.
double *synth
)
1nt winner
(
double *1nput
.
double *normfac
.
double *synth
) ;
void
wt
norm
(
double
*w ) ;
void zero weights
() ;
double *out coefs
//
nout
*
(n1n+l) weights
CONST.H System
and
program limitation constants
This also contains typedefs, structs.
et
cetera.
* See the
comment above
BAD
COMPILER.
•A·
* The
//1
f above MALLOC controls whether
or not the
diagnostic memory
*
allocation routines
are
used. They only slow things
a
tiny
bit.
*
RANDMAX
may be
system dependent.
See
your documentation.
•A·
* MAX
INPUTS.
MAX
HIDDEN
and MAX
OUTPUTS
are
primarily
to
simplify
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Publisher Resources

ISBN: 9780080514338