diff --git a/neuralNetworkTests.c b/neuralNetworkTests.c
index e1fee55..6440af8 100644
--- a/neuralNetworkTests.c
+++ b/neuralNetworkTests.c
@@ -9,26 +9,26 @@
 static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
 {
     FILE *file = fopen(path, "wb");
-    if (!file){
-         printf("Fehler Dateierzeugung"); 
-         return;
+    if (file==NULL){
+        printf("Fehler Dateierzeugung"); 
+        return;
     }
 
     char *file_header = "__info2_neural_network_file_format__";
 
-    fwrite(file_header, sizeof(char), strlen(file_header), file);                                                   //Header schreiben
+    fwrite(file_header, sizeof(char), strlen(file_header), file);                                                                   //Header schreiben
     
-    for(int i=0;i<sizeof(nn.numberOfLayers);i++){                                                                           //Jede Layer durchgehen
-        fwrite(&nn.layers[i].weights.cols,sizeof(unsigned int),1,file);                                             //Reihen
-        fwrite(&nn.layers[i].weights.rows,sizeof(unsigned int),1,file);                                             //Zeilen
+    fwrite(&nn.layers[0].weights.cols,sizeof(unsigned int),1,file);                                                                 //Reihen
+    for(int i=0;i<nn.numberOfLayers;i++){                                                                                           //Jede Layer durchgehen
         
-        fwrite(nn.layers[i].weights.buffer,sizeof(MatrixType),sizeof(nn.layers[i].weights.buffer),file);            //Inhalt
+        fwrite(&nn.layers[i].weights.rows,sizeof(unsigned int),1,file);                                                             //Zeilen
+        
+        fwrite(nn.layers[i].weights.buffer,sizeof(MatrixType),nn.layers[i].weights.rows*nn.layers[i].weights.cols,file);              //Inhalt
 
-        fwrite(nn.layers[i].biases.buffer,sizeof(MatrixType),sizeof(nn.layers[i].biases.buffer),file);
+        fwrite(nn.layers[i].biases.buffer,sizeof(MatrixType),nn.layers[i].biases.rows*nn.layers[i].biases.cols,file);
         
     }
     
-    printf("Test\n");
     fclose(file);
 }
 
@@ -48,10 +48,8 @@ void test_loadModelReturnsCorrectNumberOfLayers(void)
     NeuralNetwork expectedNet = {.layers=layers, .numberOfLayers=2};
     NeuralNetwork netUnderTest;
     
-    printf("Test\n");
     prepareNeuralNetworkFile(path, expectedNet);
     
-    printf("Test\n");
     netUnderTest = loadModel(path);
     remove(path);