diff --git a/main.c b/main.c
index d656166..df9e568 100644
--- a/main.c
+++ b/main.c
@@ -5,9 +5,9 @@
 
 int main() {
     Image** images = import_images("../data/train-images.idx3-ubyte", "../data/train-labels.idx1-ubyte", NULL, 60000);
-//    img_visualize(images[4]);
+//    img_visualize(images[0]);
 
-    Neural_Network* nn = new_network(28*28, 50, 10, 0.1);
+    Neural_Network* nn = new_network(28*28, 50, 10, 0.01);
     randomize_network(nn, 1);
 //    save_network(nn);
 
@@ -16,6 +16,7 @@ int main() {
 
     for (int i = 0; i < 20000; ++i) {
         train_network(nn, images[i], images[i]->label);
+//        matrix_print(nn->weights_output);
     }
 
 //    train_network(nn, images[0], images[0]->label);
diff --git a/neuronal_network.c b/neuronal_network.c
index fdb8a1d..b112c39 100644
--- a/neuronal_network.c
+++ b/neuronal_network.c
@@ -33,10 +33,15 @@ void randomize_network(Neural_Network* network, int scope){
     matrix_randomize(network->weights_2, scope);
     matrix_randomize(network->weights_3, scope);
     matrix_randomize(network->weights_output, scope);
-    matrix_randomize(network->bias_1, scope);
-    matrix_randomize(network->bias_2, scope);
-    matrix_randomize(network->bias_3, scope);
-    matrix_randomize(network->bias_output, scope);
+//    matrix_randomize(network->bias_1, scope);
+//    matrix_randomize(network->bias_2, scope);
+//    matrix_randomize(network->bias_3, scope);
+//    matrix_randomize(network->bias_output, scope);
+
+    matrix_fill(network->bias_1, 1);
+    matrix_fill(network->bias_2, 1);
+    matrix_fill(network->bias_3, 1);
+    matrix_fill(network->bias_output, 1);
 }
 
 void free_network(Neural_Network* network){