23 lines
741 B
TeX
23 lines
741 B
TeX
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\section{Material and Methods}\label{sec:material-and-methods}
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\subsection{Material}\label{subsec:material}
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\subsubsection{Dagster}
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\subsubsection{Label-Studio}
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\subsubsection{Pytorch}
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\subsubsection{NVTec}
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\subsubsection{Imagenet}
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\subsection{Methods}\label{subsec:methods}
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\subsubsection{Active-Learning}
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\subsubsection{ROC and AUC}
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\subsubsection{RESNet}
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\subsubsection{CNN}
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\subsubsection{Softmax}
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The Softmax function converts $n$ numbers of a vector into a probability distribution.
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Its a generalization of the Sigmoid function and often used as an Activation Layer in neural networks.
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\begin{equation}\label{eq:softmax}
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\sigma(\mathbf{z})_j = \frac{e^{z_j}}{\sum_{k=1}^K e^{z_k}} \; for j\coloneqq\{1,\dots,K\}
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\end{equation}
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