diff --git a/notebooks/FINN-HowToAnalysisPass.ipynb b/notebooks/FINN-HowToAnalysisPass.ipynb
index a99f5af944ac7817509d695920426c94b867cf47..2bf36f163503c03298661aa83b20245432aef22c 100644
--- a/notebooks/FINN-HowToAnalysisPass.ipynb
+++ b/notebooks/FINN-HowToAnalysisPass.ipynb
@@ -5,6 +5,7 @@
    "metadata": {},
    "source": [
     "# FINN - Analysis passes\n",
+    "--------------------------------------\n",
     "\n",
     "* traverses the graph structure and produces information about certain properties\n",
     "* input: ModelWrapper\n",
@@ -15,57 +16,68 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Example - Quantity analysis of nodes in onnx graph"
+    "## Example - Quantity analysis of nodes in onnx graph\n",
+    "----------------------------------------------------------------------"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import onnx\n",
+    "onnx_model = onnx.load('LFC.onnx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import torch\n",
-    "from models.LFC import LFC\n",
-    "import brevitas.onnx as bo\n",
     "from finn.core.modelwrapper import ModelWrapper\n",
-    "\n",
-    "\n",
-    "trained_lfc_w1a1_checkpoint = (\n",
-    "    \"/workspace/brevitas_cnv_lfc/pretrained_models/LFC_1W1A/checkpoints/best.tar\"\n",
-    ")\n",
-    "export_onnx_path = \"test_output_lfc.onnx\"\n",
-    "lfc = LFC(weight_bit_width=1, act_bit_width=1, in_bit_width=1)\n",
-    "checkpoint = torch.load(trained_lfc_w1a1_checkpoint, map_location=\"cpu\")\n",
-    "lfc.load_state_dict(checkpoint[\"state_dict\"])\n",
-    "bo.export_finn_onnx(lfc, (1, 1, 28, 28), export_onnx_path)\n",
-    "model = ModelWrapper(export_onnx_path)\n"
+    "onnx_model = ModelWrapper(onnx_model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Here a picture or a call for onnx_model in netron**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def count_equal_nodes(model):\n",
+    "    count_dict = {}\n",
+    "    for node in model.graph.node:\n",
+    "        if node.op_type in count_dict:\n",
+    "            count_dict[node.op_type] +=1\n",
+    "        else:\n",
+    "            count_dict[node.op_type] = 1\n",
+    "    return count_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<finn.core.modelwrapper.ModelWrapper object at 0x7f0c3311fda0>\n"
+      "{'Shape': 1, 'Gather': 1, 'Unsqueeze': 5, 'Concat': 1, 'Reshape': 1, 'Mul': 5, 'Sub': 1, 'Sign': 4, 'MatMul': 4, 'BatchNormalization': 3, 'Squeeze': 3}\n"
      ]
     }
    ],
    "source": [
-    "print(model)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import onnx\n",
-    "onnx.save(model.model, 'test.onnx')\n"
+    "print(count_equal_nodes(onnx_model))"
    ]
   },
   {
diff --git a/notebooks/LFC.onnx b/notebooks/LFC.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..1247f9224a67d9285616fd3ff8038265ac96bcae
Binary files /dev/null and b/notebooks/LFC.onnx differ