slight adaptation of notebook CNN

notebooks/Convolutional Neural Networks/Convolutional Neural Networks.ipynb

@@ -3348,7 +3348,7 @@
     "more reusable: the feature maps of a ConvNet are presence maps of generic\n",
     "concepts over a picture, which are likely to be useful regardless of the computer vision\n",
     "problem at hand. But the representations learned by the classifier will necessarily be\n",
-    "specific to the set of classes on which the model was trained—they will only contain\n",
+    "specific to the set of classes on which the model was trained — they will only contain\n",
     "information about the presence probability of this or that class in the entire picture.\n",
     "Additionally, representations found in densely connected layers no longer contain any information about where objects are located in the input image; these layers get rid of\n",
     "the notion of space, whereas the object location is still described by convolutional feature\n",
@@ -4473,7 +4473,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As you can see, we reach a validation accuracy of over 43%. "
+    "As you can see, we reach a validation accuracy of over 73%. "
    ]
   },
   {