connect to lab 3 in text

Author: avaamini

lab2/solutions/Part2_FaceDetection_Solution.ipynb

@@ -10,9 +10,9 @@
         "  <td align=\"center\"><a target=\"_blank\" href=\"http://introtodeeplearning.com\">\n",
         "        <img src=\"https://i.ibb.co/Jr88sn2/mit.png\" style=\"padding-bottom:5px;\" />\n",
         "      Visit MIT Deep Learning</a></td>\n",
-        "  <td align=\"center\"><a target=\"_blank\" href=\"https://colab.research.google.com/github/aamini/introtodeeplearning/blob/2023/lab2/solutions/Part2_FaceDetection_Solution.ipynb\">\n",
+        "  <td align=\"center\"><a target=\"_blank\" href=\"https://colab.research.google.com/github/aamini/introtodeeplearning/blob/2023/lab2/solutions/Part2_Debiasing_Solution.ipynb\">\n",
         "        <img src=\"https://i.ibb.co/2P3SLwK/colab.png\"  style=\"padding-bottom:5px;\" />Run in Google Colab</a></td>\n",
-        "  <td align=\"center\"><a target=\"_blank\" href=\"https://github.com/aamini/introtodeeplearning/blob/2023/lab2/solutions/Part2_FaceDetection_Solution.ipynb\">\n",
+        "  <td align=\"center\"><a target=\"_blank\" href=\"https://github.com/aamini/introtodeeplearning/blob/2023/lab2/solutions/Part2_Debiasing_Solution.ipynb\">\n",
         "        <img src=\"https://i.ibb.co/xfJbPmL/github.png\"  height=\"70px\" style=\"padding-bottom:5px;\"  />View Source on GitHub</a></td>\n",
         "</table>\n",
         "\n",
@@ -965,7 +965,8 @@
         "ax[1].set_ylabel(\"Visualization\");\n"
       ],
       "metadata": {
-        "id": "8qcR9uvfCJku"
+        "id": "8qcR9uvfCJku",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -1032,7 +1033,7 @@
       "source": [
         "## 2.9 Thinking ahead\n",
         "\n",
-        "Beyond this, we encourage you to think about the following questions as you prepare for Lab 3, which will focus on mitigating the issues of bias and uncertainty that you just uncovered! Consider:\n",
+        "Beyond this, we encourage you to think about the following questions as you prepare for the next lab, which will focus on mitigating the issues of bias and uncertainty that you just uncovered. Consider:\n",
         "* How do the samples with highest reconstruction loss and samples with highest bias compare? Which features is each one highlighting? Why do you think this is?\n",
         "* In what ways is the dataset biased so far? Can you imagine other features that the dataset is biased against that we have not uncovered yet?\n",
         "*  How can the performance of the supervised VAE classifier be improved?\n",