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empowerszc · Aug 19, 2018 · f4b605b · f4b605b
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diff --git a/... Batch Norm vs Dropout/.ipynb_checkpoints/08-12-18 Batch Norm vs Dropout-checkpoint.ipynb b/... Batch Norm vs Dropout/.ipynb_checkpoints/08-12-18 Batch Norm vs Dropout-checkpoint.ipynb
@@ -34,7 +34,9 @@
     "### Base Convolutional Architecture\n",
     "In each of the following sections I construct five convolutional networks and train them on the Cifar100 dataset. Each model is based on the same architecure consisting of 5 convolutional blocks with the following structure.\n",
     "\n",
-    "<img src=\"images/convblock.png\" height=300 width =300>\n",
+    "\n",
+    "<img src=\"images/convblock.png\" height=300 width=300>\n",
+    "\n",
     "\n",
     "Each model concludes with a single fully connected layer, containing 100 units and softmax activation.\n",
     "\n",

diff --git a/08-12-18 Batch Norm vs Dropout/08-12-18 Batch Norm vs Dropout.ipynb b/08-12-18 Batch Norm vs Dropout/08-12-18 Batch Norm vs Dropout.ipynb
@@ -34,7 +34,9 @@
     "### Base Convolutional Architecture\n",
     "In each of the following sections I construct five convolutional networks and train them on the Cifar100 dataset. Each model is based on the same architecure consisting of 5 convolutional blocks with the following structure.\n",
     "\n",
-    "<img src=\"images/convblock.png\" height=300 width =300>\n",
+    "\n",
+    "<img src=\"images/convblock.png\" height=300 width=300>\n",
+    "\n",
     "\n",
     "Each model concludes with a single fully connected layer, containing 100 units and softmax activation.\n",
     "\n",