diff --git a/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb b/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
index 2ee5ff9..c777d7e 100644
--- a/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
+++ b/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyOgDisWDe/zHpfTGCH8AZ3i",
+      "authorship_tag": "ABX9TyN1v/yg9PtdSVOWlYJ7bgkz",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -128,11 +128,11 @@
         "\n",
         "\n",
         "# TODO Create a model with the following layers\n",
-        "# 1. Convolutional layer, (input=length 40 and 1 channel, kernel size 3x3, stride 2, padding=\"valid\", 15 output channels )\n",
+        "# 1. Convolutional layer, (input=length 40 and 1 channel, kernel size 3, stride 2, padding=\"valid\", 15 output channels )\n",
         "# 2. ReLU\n",
-        "# 3. Convolutional layer, (input=length 19 and 15 channels, kernel size 3x3, stride 2, padding=\"valid\", 15 output channels )\n",
+        "# 3. Convolutional layer, (input=length 19 and 15 channels, kernel size 3, stride 2, padding=\"valid\", 15 output channels )\n",
         "# 4. ReLU\n",
-        "# 5. Convolutional layer, (input=length 9 and 15 channels, kernel size 3x3, stride 2, padding=\"valid\", 15 output channels)\n",
+        "# 5. Convolutional layer, (input=length 9 and 15 channels, kernel size 3, stride 2, padding=\"valid\", 15 output channels)\n",
         "# 6. ReLU\n",
         "# 7. Flatten (converts 4x15) to length 60\n",
         "# 8. Linear layer (input size = 60, output size = 10)\n",