diff --git a/neuralNetworkTests.c b/neuralNetworkTests.c
index 1610a50..dfa35b1 100644
--- a/neuralNetworkTests.c
+++ b/neuralNetworkTests.c
@@ -15,28 +15,30 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
     FILE *file = fopen(path, "wb");
     if (!file) return;
 
+    // Dateikennzeichnung schreiben
     const char *fileTag = "__info2_neural_network_file_format__";
     fwrite(fileTag, sizeof(char), strlen(fileTag), file);
 
+    // Alle Layer des Netzwerks in die Datei schreiben
     for (unsigned int i = 0; i < nn.numberOfLayers; i++)
     {
         unsigned int inputDim = nn.layers[i].weights.cols;
         unsigned int outputDim = nn.layers[i].weights.rows;
 
-        // ghi dimensions
+        // Dimensionen des Layers schreiben
         fwrite(&inputDim, sizeof(unsigned int), 1, file);
         fwrite(&outputDim, sizeof(unsigned int), 1, file);
 
-        // ghi weights
+        // Gewichtsmatrix schreiben
         fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType),
                nn.layers[i].weights.rows * nn.layers[i].weights.cols, file);
 
-        // ghi biases
+        // Biasvektor schreiben
         fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType),
                nn.layers[i].biases.rows * nn.layers[i].biases.cols, file);
     }
 
-    // đánh dấu hết layers
+    // Markierung für das Datei-Ende (keine weiteren Layer)
     unsigned int zero = 0;
     fwrite(&zero, sizeof(unsigned int), 1, file);
 
@@ -45,9 +47,6 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 
 
 
-
-
-
 // --------------------------
 // Test: Prüft, ob loadModel richtige Anzahl Layer lädt
 // --------------------------