\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/3.3.1/src/mlpack/methods/ann/loss\+\_\+functions/cross\+\_\+entropy\+\_\+error.hpp File Reference}
\label{cross__entropy__error_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/loss\+\_\+functions/cross\+\_\+entropy\+\_\+error.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/loss\+\_\+functions/cross\+\_\+entropy\+\_\+error.\+hpp}}
Include dependency graph for cross\+\_\+entropy\+\_\+error.\+hpp\+:
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Cross\+Entropy\+Error$<$ Input\+Data\+Type, Output\+Data\+Type $>$}
\begin{DoxyCompactList}\small\item\em The cross-\/entropy performance function measures the network\textquotesingle{}s performance according to the cross-\/entropy between the input and target distributions. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em strip\+\_\+type.\+hpp \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::ann}
\begin{DoxyCompactList}\small\item\em Artificial Neural Network. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Konstantin Sidorov
\end{DoxyAuthor}
Definition of the cross-\/entropy performance function.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information.