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Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb

@@ -4,7 +4,7 @@
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@@ -31,7 +31,7 @@
       "source": [
         "# **Notebook 3.1 -- Shallow neural networks I**\n",
         "\n",
-        "The purpose of this practical is to gain some familiarity with shallow neural networks.  It works through the example similar to figure 3.3 and experiments with different activation functions. <br><br>\n",
+        "The purpose of this notebook is to gain some familiarity with shallow neural networks.  It works through an example similar to figure 3.3 and experiments with different activation functions. <br>\n",
         "\n",
         "Work through the cells below, running each cell in turn. In various places you will see the words \"TO DO\". Follow the instructions at these places and write code to complete the functions. There are also questions interspersed in the text.\n",
         "\n",
@@ -58,7 +58,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "Let's first construct the shallow neural network with one input, three hidden units, and one output described in section 4.1 of the book."
+        "Let's first construct the shallow neural network with one input, three hidden units, and one output described in section 3.1 of the book."
       ],
       "metadata": {
         "id": "wQDy9UzXpnf5"