c++softmaxsigmoid

float sigmoid(float x)
{return (1 / (1 &＃43; exp(-x)));
}

float sigmoid_dy_dz(float x)
{return (x * (1.0 - x));
}

float tanh_dy_dz(float x)
{return (1.0 - x*x);
}


//对每一行进行softmax
void softmax(float *x, int row, int column)
{for (int j &＃61; 0; j } //row*column

下面是softmax&＃xff1a;

这个可以&＃xff1a;

https://blog.csdn.net/u013381011/article/details/82500805

//对每一行进行softmax
void softmax(float* x, int row, int column)
{for (int j &＃61; 0; j } //row*columnint main(){float a[] &＃61; { 0.1,0.2,0.3,0.4 ,-0.1};softmax(a,1,5);std::cout <<"Hello World!\n";
}

softmax c&＃43;&＃43;实现with opencv

cv::Mat_ mat(3,3);mat(0,0)&＃61;VIRTUAL_FOCAL;mat(0,1)&＃61;0;mat(0,2)&＃61;roiSize_x/2;mat(1,0)&＃61;0;


int softmax(const cv::Mat & src, cv::Mat & dst)
{float max &＃61; 0.0;float sum &＃61; 0.0;max &＃61; *max_element(src.begin(), src.end());cv::exp((src - max), dst);sum &＃61; cv::sum(dst)[0];dst /&＃61; sum;return 0;
}


c&＃43;&＃43;:

#include
#include
#include
#include
#include double myfunction(double num) {return exp(num);
}template
void softmax(const typename::std::vector &v, typename::std::vector &s){double sum&＃61;0.0;transform(v.begin(), v.end(), s.begin(), myfunction);sum&＃61;accumulate(s.begin(), s.end(), sum);for(size_t i&＃61;0; i}int main() {double a[]&＃61;{1.0, 3.0, 2.0};std::vector v_a(a, a&＃43;sizeof a/sizeof a[0]), v_b(v_a);std::vector::const_iterator it&＃61;v_a.begin();for(; it!&＃61;v_a.end(); &＃43;&＃43;it) {std::cout<<*it<<" ";}std::cout<}