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Capitalize Inception

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Tobias Eidelpes 2023-11-22 11:02:28 +01:00
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@ -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 suffer from. Their data set consists of $65184$ $64$ by $64$ RGB
images of which around $40000$ were used for training and $6000$ for 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} 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 section~\ref{sssec:theory-googlenet}) with \gls{se} blocks and
\gls{bn} layers in-between. Their model achieves an average \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 $\mathrm{F}_1$-score of 97\% and an average accuracy of 97.11\% on the