From 912cc890dfa011b7bb8c53bc570f26145c609f79 Mon Sep 17 00:00:00 2001
From: udlbook <110402648+udlbook@users.noreply.github.com>
Date: Sun, 10 Dec 2023 17:19:43 +0000
Subject: [PATCH] Created using Colaboratory

---
 Notebooks/Chap11/11_3_Batch_Normalization.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Notebooks/Chap11/11_3_Batch_Normalization.ipynb b/Notebooks/Chap11/11_3_Batch_Normalization.ipynb
index a085ecf..8efd2f5 100644
--- a/Notebooks/Chap11/11_3_Batch_Normalization.ipynb
+++ b/Notebooks/Chap11/11_3_Batch_Normalization.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyOZaNcBrdZ9yCHhjLOwSi69",
+      "authorship_tag": "ABX9TyPVeAd3eDpEOCFh8CVyr1zz",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -267,7 +267,7 @@
         "# Use the torch function nn.BatchNorm1d\n",
         "class ResidualNetworkWithBatchNorm(torch.nn.Module):\n",
         "  def __init__(self, input_size, output_size, hidden_size=100):\n",
-        "    super(ResidualNetwork, self).__init__()\n",
+        "    super(ResidualNetworkWithBatchNorm, self).__init__()\n",
         "    self.linear1 = nn.Linear(input_size, hidden_size)\n",
         "    self.linear2 = nn.Linear(hidden_size, hidden_size)\n",
         "    self.linear3 = nn.Linear(hidden_size, hidden_size)\n",