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Improved understanding

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-09-24 15:41:31 +02:00
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@ -79,7 +79,7 @@ Technically there are two slightly different approaches that deal
with this type of task: model uncertainty and novelty detection. with this type of task: model uncertainty and novelty detection.
Model uncertainty can be measured, for example, with dropout sampling. 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 Miller et al.~\cite{Miller2018} use them also during testing
to achieve different results for the same image making use of to achieve different results for the same image making use of
multiple forward passes. The output scores for the forward passes multiple forward passes. The output scores for the forward passes