From 2417379be3165aeecaa94c8f50c4211b118fda77 Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Tue, 25 Jul 2023 14:52:03 -0400
Subject: [PATCH] Created using Colaboratory

---
 Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb b/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb
index e4d124e..6fc32d2 100644
--- a/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb
+++ b/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyMF633wobzK487PJntQBvLE",
+      "authorship_tag": "ABX9TyNOuYI+f5s+3nRgO9UHi7ka",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -31,7 +31,7 @@
       "source": [
         "# **Notebook 3.1 -- Shallow neural networks I**\n",
         "\n",
-        "The purpose of this notebook is to gain some familiarity with shallow neural networks with 2D inputs.  It works through an example similar to figure 3.8 and experiments with different activation functions. <br>\n",
+        "The purpose of this notebook is to gain some familiarity with shallow neural networks with 1D inputs.  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",