cでnn その5

概要

cで、ニューラルネットワークやってみた。
sin問題やってみた。

ライブラリー

写真

サンプルコード

#include "catseye.h"

#define M_PI            3.1415926535

int main()
{
    int sample = 360;
    int u[] = {
        CATS_LINEAR, CATS_ACT_IDENTITY, 1, 1, 0, 0, 0, 500,
        CATS_LINEAR, CATS_ACT_SIGMOID, 1, 100, 0, 0, 0, 0,
        CATS_LINEAR, CATS_ACT_IDENTITY, 1, 1, 0, 0, 0, CATS_LOSS_MSE,
    };
    int layers = sizeof(u) / sizeof(int) / LPLEN;
    CatsEye cat;
    CatsEye__construct(&cat, 0, 0, layers, u);
    double x[sample];
    for (int i = 0; i < sample; i++) x[i] = 2.0 * M_PI / sample * i;
    double t[sample];
    for (int i = 0; i < sample; i++) t[i] = sin(x[i]);
    printf ("Starting training using (stochastic) gradient descent\n");
    CatsEye_train(&cat, x, t, sample, 2000, 0.01);
    printf ("Training complete\n");
    CatsEye_save(&cat, "sin.weights");
    FILE * fp = fopen("sin.csv", "w");
    if (fp == NULL) return -1;
    for (int i = 0; i < sample; i++) 
    {
        CatsEye_forward(&cat, x + i);
        fprintf (fp, "%lf, %lf, %lf\n", x[i], sin(x[i]), cat.o[2][0]);
    }
    CatsEye__destruct(&cat);
    return 0;
}

以上。