\section{Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1ConcatPerformance}\index{Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$@{Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$}} Implementation of the concat performance class. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Concat\+Performance} (const size\+\_\+t in\+Size=0, Output\+Layer\+Type \&\&output\+Layer=Output\+Layer\+Type()) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Concat\+Performance}{p.}{classmlpack_1_1ann_1_1ConcatPerformance} object. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&input, const arma\+::\+Mat$<$ eT $>$ \&target, arma\+::\+Mat$<$ eT $>$ \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed backward pass of a neural network. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () const \begin{DoxyCompactList}\small\item\em Get the delta. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () \begin{DoxyCompactList}\small\item\em Modify the delta. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\double \textbf{ Forward} (const arma\+::\+Mat$<$ eT $>$ \&input, arma\+::\+Mat$<$ eT $>$ \&target) \item Output\+Data\+Type \& \textbf{ Output\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the output parameter. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Output\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the output parameter. \end{DoxyCompactList}\item {\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&, const unsigned int) \begin{DoxyCompactList}\small\item\em Serialize the layer. \end{DoxyCompactList}\end{DoxyCompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$typename Output\+Layer\+Type = Negative\+Log\+Likelihood$<$$>$, typename Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat$>$\newline class mlpack\+::ann\+::\+Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$} Implementation of the concat performance class. The class works as a feed-\/forward fully connected network container which plugs performance layers together. \begin{DoxyTemplParams}{Template Parameters} {\em Input\+Data\+Type} & Type of the input data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline {\em Output\+Data\+Type} & Type of the output data (arma\+::colvec, arma\+::mat, arma\+::sp\+\_\+mat or arma\+::cube). \\ \hline \end{DoxyTemplParams} Definition at line 39 of file concat\+\_\+performance.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_ac233d7c30da79cff9862f48ad979ad47}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Concat\+Performance@{Concat\+Performance}} \index{Concat\+Performance@{Concat\+Performance}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Concat\+Performance()} {\footnotesize\ttfamily \textbf{ Concat\+Performance} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{in\+Size = {\ttfamily 0}, }\item[{Output\+Layer\+Type \&\&}]{output\+Layer = {\ttfamily OutputLayerType()} }\end{DoxyParamCaption})} Create the \doxyref{Concat\+Performance}{p.}{classmlpack_1_1ann_1_1ConcatPerformance} object. \begin{DoxyParams}{Parameters} {\em in\+Size} & The number of inputs. \\ \hline {\em output\+Layer} & Output layer used to evaluate the network. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_ab9c66259e32d4da09478464dc742c984}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Backward()} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{target, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{output }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network. The negative log likelihood layer expectes that the input contains log-\/probabilities for each class. The layer also expects a class index, in the range between 1 and the number of classes, as target when calling the Forward function. \begin{DoxyParams}{Parameters} {\em input} & The propagated input activation. \\ \hline {\em target} & The target vector, that contains the class index in the range between 1 and the number of classes. \\ \hline {\em output} & The calculated error. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_ae7c8eba5764f021cd93e30efe638e63c}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta. Definition at line 82 of file concat\+\_\+performance.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the delta. Definition at line 84 of file concat\+\_\+performance.\+hpp. References Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_a0eefbc800c9645b1dc415fba4169c417}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Forward()} {\footnotesize\ttfamily double Forward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{target }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_a8bae962cc603d1cab8d80ec78f8d505d}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 77 of file concat\+\_\+performance.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output parameter. Definition at line 79 of file concat\+\_\+performance.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1ConcatPerformance_aa5b3dd8336182f751ebec27167c22415}} \index{mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Concat\+Performance@{mlpack\+::ann\+::\+Concat\+Performance}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Concat\+Performance$<$ Output\+Layer\+Type, Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Delta(). The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/methods/ann/layer/\textbf{ concat\+\_\+performance.\+hpp}\end{DoxyCompactItemize}