feat: ✨ Update error message; update makefile; Update doc

README.md

@@ -1 +1,11 @@
 # XOR Neural Network
+## How to use
+1. Build and train the model
+```bash
+make all
+```
+> By default the model is train on 1000000 epochs, you can change this value in the main.c file, line 106.
+2. Run the model
+```bash
+./use [value1] [value2]
+```

main.c

@@ -5,7 +5,6 @@
 #include "main.h"
 #include <stdio.h>
 
-
 double sigmoid(double x)
 {
   if(x > 20) return 1.0;
@@ -104,7 +103,7 @@ int main(){
 
   int trainingSetOrder[] = {0,1,2,3};
 
-  int numEpochs = 100000;
+  int numEpochs = 1000000;
 
   //training loop
   for(int epoch = 0; epoch < numEpochs; epoch++){

use.c

@@ -1,3 +1,4 @@
+#include "main.h"
 #include <stdio.h>
 #include <stdlib.h>
 #include <math.h>
@@ -24,11 +25,11 @@ int main(int argc, char *argv[]) {
     // Load weights and biases from CSV file
     getvalues("weights.csv", HiddenWeights, HiddenBiases, FinalOutputWeights, FinalOutputBiases);
     if (argc < 2) {
-        fprintf(stderr, "No arguments provided.\n");
+        errx(0, "No arguments provided. Usage: %s <input1> <input2>", argv[0]);
         return EXIT_FAILURE;
     }
     if (argc != 3) {
-        fprintf(stderr, "Usage: %s <input1> <input2>\n", argv[0]);
+        errx(0, "Usage: %s <input1> <input2>", argv[0]);
         return EXIT_FAILURE;
     }
 
@@ -78,7 +79,7 @@ int main(int argc, char *argv[]) {
 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);
+        errx(EXIT_FAILURE, "Could not open file %s. Train the model first by executing ./main", filename);
     }
     for (int i = 0; i < 2; i++) {
         for (int j = 0; j < 2; j++) {

use.h

@@ -6,13 +6,13 @@
 #define USE_H
 
 #define NUM_INPUTS 2
-#define NUM_HIDDEN 2
+#define NUM_HIDDEN 25
 #define NUM_OUTPUTS 1
 #define NUM_TRAINING_SETS 4
 
 
 void getvalues(char filename[], double **HiddenWeights, double *HiddenBiases, double **FinalOutputWeights, double *FinalOutputBiases);
-int main();
+int main(int argc, char *argv[]);
 
 
 #endif //USE_H