diff --git a/thesis/thesis.tex b/thesis/thesis.tex
index 242a2ac..b8ec79e 100644
--- a/thesis/thesis.tex
+++ b/thesis/thesis.tex
@@ -1912,7 +1912,7 @@ this classifier to determine which biotic or abiotic stresses soybeans
 suffer from. Their data set consists of $65184$ $64$ by $64$ RGB
 images of which around $40000$ were used for training and $6000$ for
 testing. All images show a close-up of a soybean leaf. Their \gls{cnn}
-architecture makes use of three inception modules (see
+architecture makes use of three Inception modules (see
 section~\ref{sssec:theory-googlenet}) with \gls{se} blocks and
 \gls{bn} layers in-between. Their model achieves an average
 $\mathrm{F}_1$-score of 97\% and an average accuracy of 97.11\% on the