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\subsubsection{CNN}
\subsubsection{Softmax}
The Softmax function converts $n$ numbers in a vector into a probability distribution.
The Softmax function converts $n$ numbers of a vector into a probability distribution.
Its a generalization of the Sigmoid function and often used as an Activation Layer in neural networks.
\begin{equation}\label{eq:softmax}
\sigma(\mathbf{z})_j = \frac{e^{z_j}}{\sum_{k=1}^K e^{z_k}} \; for j\coloneqq\{1,\dots,K\}