diff --git a/CoreMLConverters/CoreML_Converter_SSDMobileNetV1_From_Saved_Model.ipynb b/CoreMLConverters/CoreML_Converter_SSDMobileNetV1_From_Saved_Model.ipynb
index d50b7ab7bf629502c0937eb81fb407687451bdff..e4b69251dd6cab3446a139e4cadae9658ae078fb 100644
--- a/CoreMLConverters/CoreML_Converter_SSDMobileNetV1_From_Saved_Model.ipynb
+++ b/CoreMLConverters/CoreML_Converter_SSDMobileNetV1_From_Saved_Model.ipynb
@@ -37,8 +37,7 @@
         "\n",
         "path = \"/content/gdrive/My Drive/V1Mobilenet/saved_model\"\n",
         "\n",
-        "# Load the protobuf file from the disk and parse it to retrieve the\n",
-        "# graph_def\n",
+        
         "with tf.io.gfile.GFile(path, \"rb\") as f:\n",
         "    graph_def = tf.compat.v1.GraphDef()\n",
         "    graph_def.ParseFromString(f.read())\n",
@@ -49,7 +48,6 @@
         "\n",
         "ops = graph.get_operations()\n",
         "N = len(ops)\n",
-        "# print all the placeholder ops, these would be the inputs\n",
         "print(\"Inputs ops: \")\n",
         "for op in ops:\n",
         "    if op.type == \"Placeholder\":\n",
@@ -57,9 +55,6 @@
         "              format(op.name, op.outputs[0].get_shape()))\n",
         "\n",
         "\n",
-        "# print all the tensors that are the first output of an op\n",
-        "# and do not feed into any other op\n",
-        "# these are prospective outputs\n",
         "print(\"\\nProspective output tensor(s): \", )\n",
         "sink_ops = []\n",
         "input_tensors = set()\n",
@@ -86,7 +81,7 @@
         "mlmodel = ct.convert(graph,\n",
         "                     inputs=[ct.TensorType(shape=x.shape)])\n",
         "\n",
-        "# Core ML model prediction\n",
+
         "coreml_out_dict = mlmodel.predict({\"input\" : x}, useCPUOnly=True)\n",
         "coreml_out = list(coreml_out_dict.values())[0]\n",
         "np.testing.assert_allclose(tf_out, coreml_out, rtol=1e-3, atol=1e-2)"
@@ -160,4 +155,4 @@
       ]
     }
   ]
-}
\ No newline at end of file
+}