diff --git a/matrix.c b/matrix.c
index ad00628..86a93fa 100644
--- a/matrix.c
+++ b/matrix.c
@@ -6,30 +6,35 @@
 
 Matrix createMatrix(unsigned int rows, unsigned int cols)
 {
-    
+    Matrix m;
+    m.rows = rows;
+    m.cols = cols;
+    m.buffer = malloc(rows * cols * sizeof(MatrixType));
+    return m;
+
 }
 
-void clearMatrix(Matrix *matrix)
+void clearMatrix(Matrix *m)
 {
-    
 }
 
+
 void setMatrixAt(MatrixType value, Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
 {
-    
+
 }
 
 MatrixType getMatrixAt(const Matrix matrix, unsigned int rowIdx, unsigned int colIdx)
 {
-    
+
 }
 
 Matrix add(const Matrix matrix1, const Matrix matrix2)
 {
-    
+
 }
 
 Matrix multiply(const Matrix matrix1, const Matrix matrix2)
 {
-    
+
 }
\ No newline at end of file
diff --git a/neuralNetworkTests.c b/neuralNetworkTests.c
index 2c824cc..a2eeca7 100644
--- a/neuralNetworkTests.c
+++ b/neuralNetworkTests.c
@@ -240,7 +240,8 @@ void test_predictReturnsCorrectLabels(void)
     MatrixType weightsBuffer2[] = {-9, 10, 11, 12, 13, 14};
     MatrixType weightsBuffer3[] = {-15, 16, 17, 18, -19, 20, 21, 22, 23, -24, 25, 26, 27, -28, -29};
     Matrix weights1 = {.buffer=weightsBuffer1, .rows=2, .cols=4};
-    Matrix weights2 = {.buffer=weightsBuffer2, .rows=3, .cols=2};
+
+   Matrix weights2 = {.buffer=weightsBuffer2, .rows=3, .cols=2};
     Matrix weights3 = {.buffer=weightsBuffer3, .rows=5, .cols=3};
     MatrixType biasBuffer1[] = {200, 0};
     MatrixType biasBuffer2[] = {0, -100, 0};
@@ -258,7 +259,6 @@ void test_predictReturnsCorrectLabels(void)
     TEST_ASSERT_EQUAL_UINT8_ARRAY(expectedLabels, predictedLabels, n);
     free(predictedLabels);
 }
-
 void setUp(void) {
     // Falls notwendig, kann hier Vorbereitungsarbeit gemacht werden
 }