\section{Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1Concat}\index{Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$@{Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$}} Implementation of the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} class. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Concat} (const bool model=false, const bool run=true) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} object using the specified parameters. \end{DoxyCompactList}\item \textbf{ Concat} (arma\+::\+Row$<$ size\+\_\+t $>$ \&input\+Size, const size\+\_\+t axis, const bool model=false, const bool run=true) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} object using the specified parameters. \end{DoxyCompactList}\item \textbf{ $\sim$\+Concat} () \begin{DoxyCompactList}\small\item\em Destroy the layers held by the model. \end{DoxyCompactList}\item {\footnotesize template$<$typename Layer\+Type $>$ }\\void \textbf{ Add} (const Layer\+Type \&layer) \item {\footnotesize template$<$class Layer\+Type , class... Args$>$ }\\void \textbf{ Add} (Args... args) \item void \textbf{ Add} (\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ layer) \item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&gy, arma\+::\+Mat$<$ eT $>$ \&g) \begin{DoxyCompactList}\small\item\em Ordinary feed backward pass of a neural network, using 3rd-\/order tensors as input, calculating the function f(x) by propagating x backwards through f. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&gy, arma\+::\+Mat$<$ eT $>$ \&g, const size\+\_\+t index) \begin{DoxyCompactList}\small\item\em This is the overload of \doxyref{Backward()}{p.}{classmlpack_1_1ann_1_1Concat_ad9ad1a3bdb0f3fff5c839ed155e4bbf8} that runs only a specific layer with the given input. \end{DoxyCompactList}\item arma\+::mat const \& \textbf{ Delta} () const \begin{DoxyCompactList}\small\item\em Get the delta.\+e. \end{DoxyCompactList}\item arma\+::mat \& \textbf{ Delta} () \begin{DoxyCompactList}\small\item\em Modify the delta. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Forward} (const arma\+::\+Mat$<$ eT $>$ \&input, arma\+::\+Mat$<$ eT $>$ \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Gradient} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&) \item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Gradient} (const arma\+::\+Mat$<$ eT $>$ \&input, const arma\+::\+Mat$<$ eT $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&gradient, const size\+\_\+t index) \item arma\+::mat const \& \textbf{ Gradient} () const \begin{DoxyCompactList}\small\item\em Get the gradient. \end{DoxyCompactList}\item arma\+::mat \& \textbf{ Gradient} () \begin{DoxyCompactList}\small\item\em Modify the gradient. \end{DoxyCompactList}\item arma\+::mat const \& \textbf{ Input\+Parameter} () const \item arma\+::mat \& \textbf{ Input\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the input parameter. \end{DoxyCompactList}\item std\+::vector$<$ \textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ $>$ \& \textbf{ Model} () \begin{DoxyCompactList}\small\item\em Return the model modules. \end{DoxyCompactList}\item arma\+::mat const \& \textbf{ Output\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the output parameter. \end{DoxyCompactList}\item arma\+::mat \& \textbf{ Output\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the output parameter. \end{DoxyCompactList}\item const arma\+::mat \& \textbf{ Parameters} () const \begin{DoxyCompactList}\small\item\em Return the initial point for the optimization. \end{DoxyCompactList}\item arma\+::mat \& \textbf{ Parameters} () \begin{DoxyCompactList}\small\item\em Modify the initial point for the optimization. \end{DoxyCompactList}\item bool \textbf{ Run} () const \begin{DoxyCompactList}\small\item\em Get the value of run parameter. \end{DoxyCompactList}\item bool \& \textbf{ Run} () \begin{DoxyCompactList}\small\item\em Modify the value of run 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 Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat, typename... Custom\+Layers$>$\newline class mlpack\+::ann\+::\+Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$} Implementation of the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} class. The \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} class works as a feed-\/forward fully connected network container which plugs various 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 {\em Custom\+Layers} & Additional custom layers if required. \\ \hline \end{DoxyTemplParams} Definition at line 45 of file concat.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1Concat_a616dc5867dfc8a6131fd65f8f4cdcef5}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Concat@{Concat}} \index{Concat@{Concat}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Concat()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily \textbf{ Concat} (\begin{DoxyParamCaption}\item[{const bool}]{model = {\ttfamily false}, }\item[{const bool}]{run = {\ttfamily true} }\end{DoxyParamCaption})} Create the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} object using the specified parameters. \begin{DoxyParams}{Parameters} {\em model} & Expose all network modules. \\ \hline {\em run} & Call the Forward/\+Backward method before the output is merged. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Concat_afe835fb817b9c528232a3db162223ffe}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Concat@{Concat}} \index{Concat@{Concat}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Concat()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily \textbf{ Concat} (\begin{DoxyParamCaption}\item[{arma\+::\+Row$<$ size\+\_\+t $>$ \&}]{input\+Size, }\item[{const size\+\_\+t}]{axis, }\item[{const bool}]{model = {\ttfamily false}, }\item[{const bool}]{run = {\ttfamily true} }\end{DoxyParamCaption})} Create the \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} object using the specified parameters. \begin{DoxyParams}{Parameters} {\em input\+Size} & A vector denoting input size of each layer added. \\ \hline {\em axis} & \doxyref{Concat}{p.}{classmlpack_1_1ann_1_1Concat} axis. \\ \hline {\em model} & Expose all network modules. \\ \hline {\em run} & Call the Forward/\+Backward method before the output is merged. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Concat_ac003d74927960d4583029753f4f20d09}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!````~Concat@{$\sim$\+Concat}} \index{````~Concat@{$\sim$\+Concat}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{$\sim$\+Concat()} {\footnotesize\ttfamily $\sim$\textbf{ Concat} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Destroy the layers held by the model. \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1Concat_aba000a0757d8be722cd47b993607d447}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Add@{Add}} \index{Add@{Add}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{const Layer\+Type \&}]{layer }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 147 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a8b5234495846c00f6b2c8296ca6bc718}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Add@{Add}} \index{Add@{Add}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}} {\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{Args...}]{args }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 155 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a503a807740e6c729be9efc89520db728}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Add@{Add}} \index{Add@{Add}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}} {\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$}]{layer }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 162 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Backward()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{gy, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{g }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network, using 3rd-\/order tensors as input, calculating the function f(x) by propagating x backwards through f. Using the results from the feed forward pass. \begin{DoxyParams}{Parameters} {\em input} & The propagated input activation. \\ \hline {\em gy} & The backpropagated error. \\ \hline {\em g} & The calculated gradient. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Concat_a32bcd789dbfae1bd33009208d783af03}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Backward()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{gy, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{g, }\item[{const size\+\_\+t}]{index }\end{DoxyParamCaption})} This is the overload of \doxyref{Backward()}{p.}{classmlpack_1_1ann_1_1Concat_ad9ad1a3bdb0f3fff5c839ed155e4bbf8} that runs only a specific layer with the given input. \begin{DoxyParams}{Parameters} {\em input} & The propagated input activation. \\ \hline {\em gy} & The backpropagated error. \\ \hline {\em g} & The calculated gradient. \\ \hline {\em The} & index of the layer to run. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Concat_a6126fc05a10e2e988ea7e75aada214fd}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily arma\+::mat const\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta.\+e. Definition at line 195 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a49c3606024580071e0c65e2e4d080e1e}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::mat\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the delta. Definition at line 197 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Forward()} {\footnotesize\ttfamily void Forward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{output }\end{DoxyParamCaption})} Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. \begin{DoxyParams}{Parameters} {\em input} & Input data used for evaluating the specified function. \\ \hline {\em output} & Resulting output activation. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Concat_a19cae289ba3ff40e4e1f3feb72b93219}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [1/4]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{error, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{ }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1Concat_a3a788180c1f383a92cc99dd6d7d86bfc}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [2/4]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{error, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{gradient, }\item[{const size\+\_\+t}]{index }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1Concat_a13444d1f198ceeef85e7a288a7d1d9c2}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [3/4]}} {\footnotesize\ttfamily arma\+::mat const\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the gradient. Definition at line 200 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a59e16b7142696049a5543ff35547ebd9}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [4/4]}} {\footnotesize\ttfamily arma\+::mat\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the gradient. Definition at line 202 of file concat.\+hpp. References Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1Concat_a9b1735296084fc571524101988744884}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily arma\+::mat const\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Definition at line 185 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a818d585c592c80d8e8c101f67bc389ad}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::mat\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the input parameter. Definition at line 187 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a4cb1e93bff99ccf1f8f974065a3b13c3}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Model@{Model}} \index{Model@{Model}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Model()} {\footnotesize\ttfamily std\+::vector$<$\textbf{ Layer\+Types}$<$Custom\+Layers...$>$ $>$\& Model (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Return the model modules. Definition at line 165 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a712dc230c489d0caf3175cbdfc59639f}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily arma\+::mat const\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 190 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a28ce681558d0bf02302f868d1c811f2a}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::mat\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output parameter. Definition at line 192 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_aa68d74dc1e86e4352e00a3cab83a0e4a}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily const arma\+::mat\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Return the initial point for the optimization. Definition at line 176 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a043f0ccd62e6711a18e0d81047be9a0a}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::mat\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the initial point for the optimization. Definition at line 178 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_afdada2aebea2e6674e47bde6f697b0b8}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Run@{Run}} \index{Run@{Run}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Run()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily bool Run (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the value of run parameter. Definition at line 181 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_a6d2eb043777b8a5e63ff8746b3cf980c}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!Run@{Run}} \index{Run@{Run}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{Run()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily bool\& Run (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the value of run parameter. Definition at line 183 of file concat.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Concat_aa5b3dd8336182f751ebec27167c22415}} \index{mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Concat@{mlpack\+::ann\+::\+Concat}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Concat$<$ Input\+Data\+Type, Output\+Data\+Type, Custom\+Layers $>$\+::\+Gradient(). 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.\+hpp}\end{DoxyCompactItemize}