From b47c4a210a9c7bac6d2bffc41d595ca15ff11993 Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Mon, 20 Nov 2023 21:05:39 +0000
Subject: [PATCH] Created using Colaboratory

---
 CM20315_2023/CM20315_Coursework_III.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/CM20315_2023/CM20315_Coursework_III.ipynb b/CM20315_2023/CM20315_Coursework_III.ipynb
index e59c817..ebc7cdf 100644
--- a/CM20315_2023/CM20315_Coursework_III.ipynb
+++ b/CM20315_2023/CM20315_Coursework_III.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyM4iym9JS6lh/helwOU1CL9",
+      "authorship_tag": "ABX9TyNDH1z3I76jjglu3o0LSlZc",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -33,7 +33,7 @@
         "\n",
         "The goal of the coursework is to modify a simple bit of numpy code that trains a network and measures the performance on a validation set for the MNist 1D dataset.\n",
         "\n",
-        "In this coursework, you need add **regularization** of some kind to improve the performance.  Anything from chapter 8 of the book or anything else you can find is fine *except* early stopping.  You must not change the model hyperparameters or the training algorithm.\n",
+        "In this coursework, you need add **regularization** of some kind to improve the performance.  Anything from chapter 9 of the book or anything else you can find is fine *except* early stopping.  You must not change the model hyperparameters or the training algorithm.\n",
         "\n",
         "You must improve the performance by at least 2% to get full marks.\n",
         "\n",