/*
libcudann
Copyright (C) 2011 Luca Donati (lucadonati85@gmail.com)
*/
/*
* CudaActivationFunctions.cuh
*
* Created on: Jan 10, 2011
* Author: donati
*/
#ifndef CUDAACTIVATIONFUNCTIONS_H_
#define CUDAACTIVATIONFUNCTIONS_H_
#define ACT_LINEAR 0
#define ACT_SIGMOID 1
#define ACT_TANH 2
//macro for the span size of the function (for error calculation of backpropagation)
#define spanS(act)(\
act == ACT_TANH ? 2:\
1\
)
//computes the activation function for (number) elements of (neurons) and store the results in (neurons)
void computeActFunct(float * neurons, const int number, const int funct);
//computes the derivation function for (number) elements of (neurons) and multiplies and stores the results with and in (delta)
void computeDerivFunct(float * deltas, const float * neurons, const int number, const int funct);
#endif /* CUDAACTIVATIONFUNCTIONS_H_ */