Created using Colaboratory

Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb

@@ -3,8 +3,8 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "colab_type": "text",
-        "id": "view-in-github"
+        "id": "view-in-github",
+        "colab_type": "text"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/udlbook/udlbook/blob/main/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
@@ -409,7 +409,7 @@
         "    # 3. Compute pdf of this Gaussian at every x_plot_val\n",
         "    # 4. Weight Gaussian by probability at position x and by 0.01 to componensate for bin size\n",
         "    # 5. Accumulate weighted Gaussian in marginal at time t.\n",
-        "    # 6. Multiply result by 0.01 to compensate for bin size\n",
+        "\n",
         "    # Replace this line:\n",
         "    marginal_at_time_t = marginal_at_time_t\n",
         "\n",
@@ -454,9 +454,8 @@
   ],
   "metadata": {
     "colab": {
-      "authorship_tag": "ABX9TyMpC8kgLnXx0XQBtwNAQ4jJ",
-      "include_colab_link": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3",