From bb6418df7714af8fb739f0d877f16626c377d503 Mon Sep 17 00:00:00 2001 From: Tobias Eidelpes Date: Wed, 22 Nov 2023 11:02:28 +0100 Subject: [PATCH] Capitalize Inception --- thesis/thesis.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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