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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++
438
Appendix
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<std1o.h>
<str1ng,h>
<math.h>
<con1o.h>
<ctype.h>
<stdl1b.h>
"const.h"
"classes.h"
"funedefs.h"
// System and limitation constants.
// Includes all class headers
// Function prototypes
typedefs, structs
double LayerNet::d1recmln (
Tra1n1ngSet *tptr . // Training set to use
double start err , // Error (function value) at starting coefficients
1nt 1tmax , // Upper limit on number of Iterations allowed
double eps , // Small, but greater than machine precision
double to! . // Brent's tolerance (>- sqrt machine precision)
double *base , // Work are ...
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Publisher Resources

ISBN: 9780080514338