BuildingABrain.ipynb - Improved notebook portability and fixed Keras model issues

README.md

@@ -13,3 +13,13 @@ This repository contains notebooks authored by the [NVIDIA DLI](https://nvidia.c
 ## NVIDIA DLI Catalog
 
 If you enjoy these notebooks, we recommend you check out the [DLI's full catalog of courses](nvidia.com/dli) which cover a much broader range of topics, in much greater depth, with dedicated GPU resources and a more sophisticated programming environment.
+
+## Notes
+
+This fork includes fixes for:
+- Colab YouTube embed issues (Error 153)
+- Image rendering inconsistencies
+- GitHub notebook preview compatibility
+- Keras model initialization errors
+
+See pull request for full details.

building-a-brain/BuildingABrain.ipynb

@@ -4,8 +4,7 @@
   "metadata": {
     "colab": {
       "name": "BuildingABrain.ipynb",
-      "provenance": [],
-      "collapsed_sections": []
+      "provenance": []
     },
     "kernelspec": {
       "name": "python3",
@@ -41,13 +40,31 @@
     },
     {
       "cell_type": "code",
-      "metadata": {
-        "id": "Jj9625DV7oKS"
-      },
       "source": [
-        "from IPython.display import YouTubeVideo\n",
-        "YouTubeVideo('cNxadbrN_aI')"
+        "from IPython.display import HTML\n",
+        "\n",
+        "video_id = \"cNxadbrN_aI\"\n",
+        "src = \"https://www.youtube.com/embed/\" + video_id\n",
+        "\n",
+        "tag_open = \"<\" + \"iframe\"\n",
+        "tag_close = \"<\" + \"/\" + \"iframe\" + \">\"\n",
+        "\n",
+        "html = (\n",
+        "    tag_open\n",
+        "    + ' width=\"560\" height=\"315\"'\n",
+        "    + ' src=\"' + src + '\"'\n",
+        "    + ' frameborder=\"0\"'\n",
+        "    + ' allowfullscreen'\n",
+        "    + ' referrerpolicy=\"strict-origin-when-cross-origin\"'\n",
+        "    + \">\"\n",
+        "    + tag_close\n",
+        ")\n",
+        "\n",
+        "HTML(html)"
       ],
+      "metadata": {
+        "id": "viMxZGykqyK6"
+      },
       "execution_count": null,
       "outputs": []
     },
@@ -233,7 +250,7 @@
         "\n",
         "## Defining the architecture\n",
         "<center>\n",
-        "<a title=\"BruceBlaus, CC BY 3.0 &lt;https://creativecommons.org/licenses/by/3.0&gt;, via Wikimedia Commons\" href=\"https://commons.wikimedia.org/wiki/File:Blausen_0657_MultipolarNeuron.png\"><img width=\"512\" alt=\"Blausen 0657 MultipolarNeuron\" src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/10/Blausen_0657_MultipolarNeuron.png/512px-Blausen_0657_MultipolarNeuron.png\"></a>\n",
+        "<a title=\"BruceBlaus, CC BY 3.0 &lt;https://creativecommons.org/licenses/by/3.0&gt;, via Wikimedia Commons\" href=\"https://commons.wikimedia.org/wiki/File:Blausen_0657_MultipolarNeuron.png\"><img width=\"512\" alt=\"Blausen 0657 MultipolarNeuron\" src=\"https://upload.wikimedia.org/wikipedia/commons/1/10/Blausen_0657_MultipolarNeuron.png?utm_source=commons.wikimedia.org&utm_campaign=index&utm_content=original\"></a>\n",
         "<p><small>\n",
         "Image courtesy of <a href=\"https://commons.wikimedia.org/wiki/File:Blausen_0657_MultipolarNeuron.png\">Wikimedia Commons</a>\n",
         "</small></p>\n",
@@ -303,8 +320,9 @@
       },
       "source": [
         "model = tf.keras.Sequential([\n",
-        "    tf.keras.layers.Flatten(input_shape=(28, 28)),\n",
-        "    tf.keras.layers.Dense(number_of_classes)\n",
+        "    tf.keras.Input(shape=(28, 28)), # Use Input layer to define shape\n",
+        "    tf.keras.layers.Flatten(),\n",
+        "    tf.keras.layers.Dense(int(number_of_classes))\n",
         "])"
       ],
       "execution_count": null,
@@ -350,7 +368,7 @@
         "image_height = 28\n",
         "image_width = 28\n",
         "\n",
-        "number_of_weights = image_height * image_width * number_of_classes\n",
+        "number_of_weights = image_height * image_width * int(number_of_classes)\n",
         "number_of_weights"
       ],
       "execution_count": null,
@@ -566,4 +584,4 @@
       ]
     }
   ]
-}
+}