Format pep8, include pass shaped to mobilenet

train.ipynb

@@ -15,7 +15,7 @@
   "orig_nbformat": 2,
   "kernelspec": {
    "name": "python3",
-   "display_name": "Python 3.8.8 64-bit",
+   "display_name": "Python 3.8.8 64-bit ('tensorflow2': conda)",
    "metadata": {
     "interpreter": {
      "hash": "ee99f7bd678359d45d92ad289bdab8f6bcfaae579cfd1bff07d2bb16d7ba024f"
@@ -70,15 +70,7 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "WARNING:tensorflow:`input_shape` is undefined or non-square, or `rows` is not in [128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model = fd.mobilenet_nnconv5(weights='imagenet')\n",
     "fd.compile(model)"
@@ -102,7 +94,7 @@
   },
   {
    "source": [
-    "## Evaluate the model"
+    "## Evaluate the trained model"
    ],
    "cell_type": "markdown",
    "metadata": {}