\section{Constant$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1Constant}\index{Constant$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Constant$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} Implementation of the constant layer. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Constant} (const size\+\_\+t out\+Size=0, const double scalar=0.\+0) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Constant}{p.}{classmlpack_1_1ann_1_1Constant} object that outputs a given constant scalar value given any input value. \end{DoxyCompactList}\item {\footnotesize template$<$typename Data\+Type $>$ }\\void \textbf{ Backward} (const Data\+Type \&, const Data\+Type \&, Data\+Type \&g) \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 Input\+Type , typename Output\+Type $>$ }\\void \textbf{ Forward} (const Input\+Type \&input, Output\+Type \&output) \begin{DoxyCompactList}\small\item\em Ordinary feed forward pass of a neural network. \end{DoxyCompactList}\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 \&ar, 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$>$\newline class mlpack\+::ann\+::\+Constant$<$ Input\+Data\+Type, Output\+Data\+Type $>$} Implementation of the constant layer. The constant layer outputs a given constant value given any input value. \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 34 of file constant.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1Constant_a320d5aa3ea2b58fceb9c409abe0a4050}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Constant@{Constant}} \index{Constant@{Constant}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \subsubsection{Constant()} {\footnotesize\ttfamily \textbf{ Constant} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{out\+Size = {\ttfamily 0}, }\item[{const double}]{scalar = {\ttfamily 0.0} }\end{DoxyParamCaption})} Create the \doxyref{Constant}{p.}{classmlpack_1_1ann_1_1Constant} object that outputs a given constant scalar value given any input value. \begin{DoxyParams}{Parameters} {\em out\+Size} & The number of output units. \\ \hline {\em scalar} & The constant value used to create the constant output. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1Constant_aed454f26a963127d9027c95485dcc695}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \subsubsection{Backward()} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const Data\+Type \&}]{, }\item[{const Data\+Type \&}]{, }\item[{Data\+Type \&}]{g }\end{DoxyParamCaption})} Ordinary feed backward pass of a neural network. The backward pass of the constant layer is returns always a zero output error matrix. \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_1Constant_ae7c8eba5764f021cd93e30efe638e63c}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \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 75 of file constant.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Constant_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \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 77 of file constant.\+hpp. References Constant$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1Constant_a09440df0a90bdcc766e56e097d91205b}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \subsubsection{Forward()} {\footnotesize\ttfamily void Forward (\begin{DoxyParamCaption}\item[{const Input\+Type \&}]{input, }\item[{Output\+Type \&}]{output }\end{DoxyParamCaption})} Ordinary feed forward pass of a neural network. The forward pass fills the output with the specified constant parameter. \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_1Constant_a8bae962cc603d1cab8d80ec78f8d505d}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \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 70 of file constant.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Constant_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \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 72 of file constant.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Constant_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Constant@{mlpack\+::ann\+::\+Constant}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Constant$<$ 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.\+1/src/mlpack/methods/ann/layer/\textbf{ constant.\+hpp}\end{DoxyCompactItemize}