Updated comments to make clearer.

Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb

@@ -1,18 +1,16 @@
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       "cell_type": "markdown",
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-        "id": "view-in-github"
+        "id": "view-in-github",
+        "colab_type": "text"
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       "source": [
         "<a href=\"https://colab.research.google.com/github/udlbook/udlbook/blob/main/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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@@ -42,7 +40,6 @@
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@@ -102,8 +99,8 @@
       "source": [
         "# Define a shallow neural network with, one input, one output, and three hidden units\n",
         "def shallow_1_1_3(x, activation_fn, phi_0,phi_1,phi_2,phi_3, theta_10, theta_11, theta_20, theta_21, theta_30, theta_31):\n",
-        "  # TODO Replace the lines below to compute the three initial lines\n",
-        "  # (figure 3.3a-c) from the theta parameters.  These are the preactivations\n",
+        "  # TODO Replace the code below to compute the three initial lines\n",
+        "  # from the theta parameters (i.e. implement equations at bottom of figure 3.3a-c).  These are the preactivations\n",
         "  pre_1 = np.zeros_like(x)\n",
         "  pre_2 = np.zeros_like(x)\n",
         "  pre_3 = np.zeros_like(x)\n",
@@ -199,7 +196,6 @@
       ]
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@@ -210,7 +206,6 @@
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@@ -269,7 +264,6 @@
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@@ -354,9 +348,8 @@
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-      "include_colab_link": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
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     "kernelspec": {
       "display_name": "Python 3",
@@ -368,4 +361,4 @@
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   "nbformat_minor": 0
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+}