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Added info about source of inspiration for background section

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Signed-off-by: Jim Martens <github@2martens.de>
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Jim Martens
2019-10-01 13:28:12 +02:00
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@ -335,7 +335,9 @@ procedure to select prior variances.
\end{table}
This section will use the \textbf{notation} defined in table
\ref{tab:notation} on page \pageref{tab:notation}.
\ref{tab:notation} on page \pageref{tab:notation}. The subsections
"Dropout Variational Inference" and "Dropout Sampling for Object Detection"
follow the theoretical explanation by Miller et al.~\cite{Miller2018}.
To understand dropout sampling, it is necessary to explain the
idea of Bayesian neural networks. They place a prior distribution
over the network weights, for example a Gaussian prior distribution: