From 40fc192198f74900e0818435a5ff0de618cc17b8 Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Sun, 10 Dec 2023 17:06:17 +0000
Subject: [PATCH] Created using Colaboratory

---
 Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb b/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb
index 56e0628..1d058cc 100644
--- a/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb
+++ b/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyMpC8kgLnXx0XQBtwNAQ4jJ",
+      "authorship_tag": "ABX9TyNHifufahHPhghaXpcrZ7c5",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -233,7 +233,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "Notice that the samples have a tendency to move toward the center.  Now let's look at the histogram of the samples at each stage"
+        "Notice that the samples have a tendencey to move toward the center.  Now let's look at the histogram of the samples at each stage"
       ],
       "metadata": {
         "id": "SGTYGGevAktz"
@@ -248,7 +248,7 @@
         "  plt.hist(z_t , bins=np.arange(-3,3, 0.1), density = True)\n",
         "  ax.set_xlim([-3,3])\n",
         "  ax.set_ylim([0,1.0])\n",
-        "  ax.set_title('title')\n",
+        "  ax.set_title(title)\n",
         "  plt.show()"
       ],
       "metadata": {
@@ -418,7 +418,7 @@
         "    # 1. For each x (value in x_plot_vals):\n",
         "      # 2. Compute the mean and variance of the diffusion kernel at time t\n",
         "      # 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 compensate for bin size\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",
         "    # Replace this line:\n",