debug

Author: avaamini

lab2/Part2_Debiasing.ipynb

@@ -481,15 +481,28 @@
         "2.   **Reconstruction loss ($L_{x}{(x,\\hat{x})}$)**: measures how accurately the reconstructed outputs match the input and is given by the $L^1$ norm of the input image and its reconstructed output."
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KV1khmq5wt-K"
+      },
+      "source": [
+        "The equations for both of these losses are provided below.\r\n",
+        "\r\n",
+        "$$L_{KL}(\\mu, \\sigma) = \\frac{1}{2}\\sum\\limits_{j=0}^{k-1}\\small{(\\sigma_j + \\mu_j^2 - 1 - \\log{\\sigma_j})}$$\r\n",
+        "\r\n",
+        "Thus for the VAE loss we have."
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
         "id": "qWxOCPgvv1lf"
       },
       "source": [
-        "The equations for both of these losses are provided below:\r\n",
+        "The equations for both of these losses are provided below.\r\n",
+        "\r\n",
         "\r\n",
-        "$$L_{KL}(\\mu, \\sigma) = \\frac{1}{2}\\sum\\small{(\\sigma_j + \\mu_j^2 - 1 - \\log{\\sigma_j})}$$\r\n",
         "\r\n",
         "$$L_{KL}(\\mu, \\sigma) = \\frac{1}{2}\\sum\\limits_{j=0}^{k-1}\\small{(\\sigma_j + \\mu_j^2 - 1 - \\log{\\sigma_j})}$$\r\n",
         "\r\n",