diff --git a/Startcode/neuralNetworkTests.c b/Startcode/neuralNetworkTests.c
index dab12ab..c1eef28 100644
--- a/Startcode/neuralNetworkTests.c
+++ b/Startcode/neuralNetworkTests.c
@@ -13,17 +13,17 @@ static void prepareNeuralNetworkFile(const char *path, const NeuralNetwork nn)
     if (fd == NULL)
         return;
 
-    fwrite(FILE_HEADER_STRING, sizeof(FILE_HEADER_STRING) - 1, 1, fd);
+    fwrite(FILE_HEADER_STRING, strlen(FILE_HEADER_STRING), 1, fd);
     // fwrite(&nn, sizeof(nn), 1, fd);
     fwrite(&(nn.layers[0].weights.cols), sizeof(nn.layers[0].weights.cols), 1, fd);
     for (int i = 0; i < nn.numberOfLayers; ++i)
     {
         fwrite(&(nn.layers[i].weights.rows), sizeof(nn.layers[i].weights.rows), 1, fd);
-        fwrite(&(nn.layers[i].weights.buffer), sizeof(MatrixType) * nn.layers[i].weights.rows * nn.layers[i].weights.cols, 1, fd);
-        fwrite(&(nn.layers[i].biases.buffer), sizeof(MatrixType) * nn.layers[i].biases.rows, 1, fd);
+        fwrite(nn.layers[i].weights.buffer, sizeof(MatrixType), nn.layers[i].weights.rows * nn.layers[i].weights.cols, fd);
+        fwrite(nn.layers[i].biases.buffer, sizeof(MatrixType), nn.layers[i].biases.rows, fd);
     }
-    const float zeroooooo = 0.0F;
-    fwrite(&zeroooooo, sizeof(MatrixType), 1, fd);
+    const int zeroooooo = 0;
+    fwrite(&zeroooooo, sizeof(int), 1, fd);
     fclose(fd);
 }