diff --git a/src/Network/NeuralNetwork.cpp b/src/Network/NeuralNetwork.cpp
index c9dd4fdbc3548d6e1cefd3cfb8f5a16d27c671d8..f8f8d761a1b318d6ce92e2adb9a06afc34a5278d 100644
--- a/src/Network/NeuralNetwork.cpp
+++ b/src/Network/NeuralNetwork.cpp
@@ -1139,6 +1139,5 @@ namespace lib4neuro {
 
         this->analyze_layer_structure();
     }
-
 }
 
diff --git a/src/examples/network_serialization.cpp b/src/examples/network_serialization.cpp
index 7223256619dc893909d1fb8b606a67a89a84143a..67453d25cbe9a2b97926dab4dcbc99a03a52d633 100644
--- a/src/examples/network_serialization.cpp
+++ b/src/examples/network_serialization.cpp
@@ -124,7 +124,7 @@ int main() {
     /* SAVE NETWORK TO THE FILE */
     std::cout << "********************************************************************************************************************************************" <<std::endl;
     std::cout << "Network generated by the example" << std::endl;
-    net.print_stats();
+    net.write_stats();
     net.save_text("saved_network.4nt");
     std::cout << "--------------------------------------------------------------------------------------------------------------------------------------------" <<std::endl;
     double error = 0.0;
@@ -142,7 +142,7 @@ int main() {
 
     std::cout << "Network loaded from a file" << std::endl;
     l4n::NeuralNetwork net2("saved_network.4nt");
-    net2.print_stats();
+    net2.write_stats();
     std::cout << "--------------------------------------------------------------------------------------------------------------------------------------------" <<std::endl;
     error = 0.0;
     inp = {0, 1};