8 -> 4 dimensions

> The network is able to cram most of the necessary information into these 8-dimensional representations, but not all of it.
But in example you used 4-dimensional Dense layer.

Author: QtRoS

3.6-classifying-newswires.ipynb

@@ -923,7 +923,7 @@
     "\n",
     "Our network now seems to peak at ~71% test accuracy, a 8% absolute drop. This drop is mostly due to the fact that we are now trying to \n",
     "compress a lot of information (enough information to recover the separation hyperplanes of 46 classes) into an intermediate space that is \n",
-    "too low-dimensional. The network is able to cram _most_ of the necessary information into these 8-dimensional representations, but not all \n",
+    "too low-dimensional. The network is able to cram _most_ of the necessary information into these 4-dimensional representations, but not all \n",
     "of it."
    ]
   },