feat: ✨ Create Neural network for XOR

use.c

@@ -0,0 +1,98 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <math.h>
+#include <err.h>
+
+// Function prototypes
+void getvalues(char filename[], double **HiddenWeights, double *HiddenBiases, double **FinalOutputWeights, double *FinalOutputBiases);
+double sigmoid(double x);
+double sigmoid_derivative(double x);
+
+int main() {
+    // Allocate memory for weights and biases
+    double **HiddenWeights = (double **)malloc(2 * sizeof(double *));
+    for (int i = 0; i < 2; i++) {
+        HiddenWeights[i] = (double *)malloc(2 * sizeof(double));
+    }
+    double *HiddenBiases = (double *)malloc(2 * sizeof(double));
+    double **FinalOutputWeights = (double **)malloc(2 * sizeof(double *));
+    for (int i = 0; i < 2; i++) {
+        FinalOutputWeights[i] = (double *)malloc(1 * sizeof(double));
+    }
+    double *FinalOutputBiases = (double *)malloc(1 * sizeof(double));
+
+    // Load weights and biases from CSV file
+    getvalues("weights.csv", HiddenWeights, HiddenBiases, FinalOutputWeights, FinalOutputBiases);
+
+    // Prompt user for input values
+    double input1, input2;
+    printf("Enter two values to compute XOR: ");
+    scanf("%lf %lf", &input1, &input2);
+
+    // Perform forward pass
+    double hiddenLayer[2];
+    double outputLayer[1];
+
+    // Compute hidden layer activation
+    for (int j = 0; j < 2; j++) {
+        double activation = HiddenBiases[j];
+        activation += input1 * HiddenWeights[0][j];
+        activation += input2 * HiddenWeights[1][j];
+        hiddenLayer[j] = sigmoid(activation);
+    }
+
+    // Compute output layer activation
+    for (int j = 0; j < 1; j++) {
+        double activation = FinalOutputBiases[j];
+        activation += hiddenLayer[0] * FinalOutputWeights[0][j];
+        activation += hiddenLayer[1] * FinalOutputWeights[1][j];
+        outputLayer[j] = sigmoid(activation);
+    }
+
+    // Print the result
+    printf("Input: %g %g    Predicted Output: %g     Output round: %g\n", input1, input2, outputLayer[0], round(outputLayer[0]));
+
+    // Free allocated memory
+    for (int i = 0; i < 2; i++) {
+        free(HiddenWeights[i]);
+        free(FinalOutputWeights[i]);
+    }
+    free(HiddenWeights);
+    free(HiddenBiases);
+    free(FinalOutputWeights);
+    free(FinalOutputBiases);
+
+    return 0;
+}
+
+void getvalues(char filename[], double **HiddenWeights, double *HiddenBiases, double **FinalOutputWeights, double *FinalOutputBiases) {
+    FILE *fp = fopen(filename, "r");
+    if (fp == NULL) {
+        errx(EXIT_FAILURE, "Could not open file %s", filename);
+    }
+    for (int i = 0; i < 2; i++) {
+        for (int j = 0; j < 2; j++) {
+            fscanf(fp, "%lf,", &HiddenWeights[i][j]);
+        }
+    }
+    for (int i = 0; i < 2; i++) {
+        fscanf(fp, "%lf,", &HiddenBiases[i]);
+    }
+    for (int i = 0; i < 2; i++) {
+        for (int j = 0; j < 1; j++) {
+            fscanf(fp, "%lf,", &FinalOutputWeights[i][j]);
+        }
+    }
+    for (int i = 0; i < 1; i++) {
+        fscanf(fp, "%lf,", &FinalOutputBiases[i]);
+    }
+    fclose(fp);
+}
+
+double sigmoid(double x) {
+    return 1.0 / (1.0 + exp(-x));
+}
+
+double sigmoid_derivative(double x) {
+    return x * (1.0 - x);
+}