fix sigmoid func

function.c

@@ -7,5 +7,6 @@ double	sigmoid_deriv(double entry)
 
 double	sigmoid_func(double entry)
 {
+	entry = 1 / (1 + exp(entry));
 	return (entry);
 }

neural.h

@@ -54,6 +54,7 @@ t_neural	*init_node(t_layer *, t_neural *, char);
 t_layer		*init_layer(int, char);
 t_network	*init_network(int, int, int, t_network *);
 /* print.c */
+void		print_only_res(t_network *);
 void		print_layer(t_layer *);
 /* fill_network.c */
 void		fill_layer_out(double *, t_layer *);

print.c

@@ -1,15 +1,29 @@
 #include "neural.h"
 
+void	print_only_res(t_network *network)
+{
+t_neural	*node_out = network->output_l->start;
+
+	int i = 0;
+	while(node_out)
+		{
+		printf("nde number %d; value output = %f\n", i, node_out->value);
+		node_out = node_out->next;
+		i++;
+		}
+	printf("\n");
+}
+
 void	print_layer(t_layer *layer)
 {
   t_neural	*tmp;
 
   tmp = layer->start;
   while (tmp)
-    {
+	{
 	printf("target = %f ", tmp->target);
-      printf("value = %f ; w_sum = %f\n", tmp->value, tmp->w_sum);
-      tmp = tmp->next;
-    }
-printf("\n");
+	printf("value = %f ; w_sum = %f\n", tmp->value, tmp->w_sum);
+	tmp = tmp->next;
+	}
+	printf("\n");
 }

run_network.c

@@ -104,6 +104,7 @@ void	run_network(t_network *network, int nb_it)
 		back_propagationHO(network);
 		process_hidden_l_error(network);
 		back_propagationIH(network);
+		print_only_res(network);
 		i++;
 	}
 }