diff --git a/body.tex b/body.tex
index d326f1b..09c6cab 100644
--- a/body.tex
+++ b/body.tex
@@ -79,7 +79,7 @@ Technically there are two slightly different approaches that deal
 with this type of task: model uncertainty and novelty detection.
 
 Model uncertainty can be measured, for example, with dropout sampling.
-Dropout is usually used only during training but
+Dropout layers are usually used only during training but
 Miller et al.~\cite{Miller2018} use them also during testing
 to achieve different results for the same image making use of
 multiple forward passes. The output scores for the forward passes