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udlbook
2024-03-04 12:26:07 -05:00
parent 30801a1d2b
commit e947b261f8
1 changed files with 10 additions and 11 deletions
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19
Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb
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@@ -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>"
@@ -405,11 +405,11 @@
"\n",
" # TODO Write this function\n",
" # 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 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",
" # 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 componensate for bin size\n",
" # 5. Accumulate weighted Gaussian in marginal at time t.\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",