diff --git a/notebooks/FINN-ModelWrapperAndHowToAnalysisPass.ipynb b/notebooks/FINN-ModelWrapperAndHowToAnalysisPass.ipynb
index ab447ca8264f357d1f6d07d316358fefa522cba1..9b53380c435c92f2dd527a408260b30fee8512d6 100644
--- a/notebooks/FINN-ModelWrapperAndHowToAnalysisPass.ipynb
+++ b/notebooks/FINN-ModelWrapperAndHowToAnalysisPass.ipynb
@@ -5,7 +5,23 @@
    "metadata": {},
    "source": [
     "# FINN - ModelWrapper and Analysis passes\n",
-    "--------------------------------------\n",
+    "--------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##ModelWrapper\n",
+    "-------------------------\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Analysis passes\n",
+    "-------------------------\n",
     "* <font size=\"3\">traverses the graph structure and produces information about certain properties</font>\n",
     "* <font size=\"3\">input: ModelWrapper</font>\n",
     "* <font size=\"3\">returns dictionary of named properties that the analysis extracts</font>"
@@ -15,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Example - Quantity analysis of nodes in onnx graph\n",
+    "### Example - Quantity analysis of nodes in onnx graph\n",
     "----------------------------------------------------------------------\n",
     "<font size=\"3\">Purpose of this analysis pass is to return the number of similar nodes in a dictionary. So first an onnx model is loaded. In this example a trained brevitas model is used. It was exported from brevitas and saved as .onnx file. With the help of `import onnx` the load function can be accessed. As argument it takes the model path.</font>\n"
    ]