Second pass over thesis

- added more glossary terms
- added crucial information
- improved language

Signed-off-by: Jim Martens <github@2martens.de>

glossary.tex

@@ -1,4 +1,8 @@
 % acronyms
+\newacronym{MC}{MC}{Monte Carlo}
+\newacronym{MCDO}{MCDO}{Monte Carlo Dropout}
+\newacronym{MCBN}{MCBN}{Monte Carlo Batch Normalisation}
+\newacronym{MLP}{MLP}{multilayer perceptron}
 \newacronym{NMS}{NMS}{non-maximum suppression}
 \newacronym{OSE}{OSE}{open set error}
 \newacronym{SSD}{SSD}{Single Shot MultiBox Detector}
@@ -17,6 +21,19 @@
         is a deep learning framework written in C++
     }
 }
+\newglossaryentry{CCTV}{
+    name={CCTV},
+    description={
+        stands for closed-circuit television or video surveillance
+    }
+}
+\newglossaryentry{Dirichlet distribution}{
+    name={Dirichlet distribution},
+    description={
+        is named after Peter Dirichlet and a family of probability
+        distributions
+    }
+}
 \newglossaryentry{entropy}{
     name={entropy},
     description={
@@ -24,6 +41,14 @@
         events have a lower entropy than rare events. In case of classification probabilities, uniform predictions contain more information than predictions with a clear "winner"
     }
 }
+\newglossaryentry{Hopfield network}{
+    name={Hopfield network},
+    description={
+        is a recurrent neural network. Used as "associative" memory
+        systems with binary thresholds. Guaranteed to converge to local
+        minimum, this can be the wrong one though
+    }
+}
 \newglossaryentry{posterior}{
     name={posterior},
     description={