\section{Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1AdaptiveMeanPooling}\index{Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} Implementation of the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling}. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Adaptive\+Mean\+Pooling} () \begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \end{DoxyCompactList}\item \textbf{ Adaptive\+Mean\+Pooling} (const size\+\_\+t output\+Width, const size\+\_\+t output\+Height) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \end{DoxyCompactList}\item \textbf{ Adaptive\+Mean\+Pooling} (const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&output\+Shape) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \end{DoxyCompactList}\item {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Backward} (const arma\+::\+Mat$<$ eT $>$ \&input, 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 const 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 $>$ }\\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 size\+\_\+t \textbf{ Input\+Height} () const \begin{DoxyCompactList}\small\item\em Get the input height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Input\+Height} () \begin{DoxyCompactList}\small\item\em Modify the input height. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Input\+Size} () const \begin{DoxyCompactList}\small\item\em Get the input size. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Input\+Width} () const \begin{DoxyCompactList}\small\item\em Get the input width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Input\+Width} () \begin{DoxyCompactList}\small\item\em Modify the input width. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Output\+Height} () const \begin{DoxyCompactList}\small\item\em Get the output height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Output\+Height} () \begin{DoxyCompactList}\small\item\em Modify the output height. \end{DoxyCompactList}\item const 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 size\+\_\+t \textbf{ Output\+Size} () const \begin{DoxyCompactList}\small\item\em Get the output size. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Output\+Width} () const \begin{DoxyCompactList}\small\item\em Get the output width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Output\+Width} () \begin{DoxyCompactList}\small\item\em Modify the output width. \end{DoxyCompactList}\item {\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&ar, const unsigned int version) \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\+::\+Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$} Implementation of the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling}. \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 adaptive\+\_\+mean\+\_\+pooling.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a2c93ea0e272a910b40b79f9613fa2832}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}} \index{Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Adaptive\+Mean\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily \textbf{ Adaptive\+Mean\+Pooling} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_ab867bd798e073e6f35411e67a73d7a22}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}} \index{Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Adaptive\+Mean\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}} {\footnotesize\ttfamily \textbf{ Adaptive\+Mean\+Pooling} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{output\+Width, }\item[{const size\+\_\+t}]{output\+Height }\end{DoxyParamCaption})} Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \begin{DoxyParams}{Parameters} {\em output\+Width} & Width of the output. \\ \hline {\em output\+Height} & Height of the output. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a36681c1caafcba26c34adfa2818f5d5e}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}} \index{Adaptive\+Mean\+Pooling@{Adaptive\+Mean\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Adaptive\+Mean\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}} {\footnotesize\ttfamily \textbf{ Adaptive\+Mean\+Pooling} (\begin{DoxyParamCaption}\item[{const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&}]{output\+Shape }\end{DoxyParamCaption})} Create the \doxyref{Adaptive\+Mean\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMeanPooling} object. \begin{DoxyParams}{Parameters} {\em output\+Shape} & A two-\/value tuple indicating width and height of the output. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a78dbad83871f43db1975e45a9a69c376}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Backward()} {\footnotesize\ttfamily void Backward (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\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_1AdaptiveMeanPooling_a1590f28691f13bf27566777c35e2296c}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily const Output\+Data\+Type\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta. Definition at line 88 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \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 90 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \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_1AdaptiveMeanPooling_ac34354aab4ed6f9145908b19eade6a24}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Input\+Height@{Input\+Height}} \index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Input\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Input\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the input height. Definition at line 98 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_aefbba724eec397a928d5460bb209a360}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Input\+Height@{Input\+Height}} \index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Input\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Input\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the input height. Definition at line 100 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a5a4c4984aa897a28d516e638e7ea5308}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Input\+Size@{Input\+Size}} \index{Input\+Size@{Input\+Size}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Input\+Size()} {\footnotesize\ttfamily size\+\_\+t Input\+Size (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the input size. Definition at line 113 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a432efdff77411903044ae87ec3aec70f}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Input\+Width@{Input\+Width}} \index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Input\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Input\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the input width. Definition at line 93 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a238e9d308df611a9300a4ca6756fef4d}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Input\+Width@{Input\+Width}} \index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Input\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Input\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the input width. Definition at line 95 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a96a6294ed9ca8d24be9bb5eb53db7f25}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Height@{Output\+Height}} \index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Output\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output height. Definition at line 108 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_ac5112abf9f5e1face13ed965a8755b1d}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Height@{Output\+Height}} \index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Output\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output height. Definition at line 110 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a0d51eabd0467ab5261d828a6cb0cd94e}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily const Output\+Data\+Type\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 81 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \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 85 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a99c1d948c984b9e76fb5e37e2145427a}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Size@{Output\+Size}} \index{Output\+Size@{Output\+Size}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Size()} {\footnotesize\ttfamily size\+\_\+t Output\+Size (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output size. Definition at line 116 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. References Log\+::\+Fatal, and Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_aa2b647f9e029826314b4f572fe96878d}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Width@{Output\+Width}} \index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Output\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output width. Definition at line 103 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a54579ec9924e2a4a5bc0a4fb822ce80c}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!Output\+Width@{Output\+Width}} \index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{Output\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Output\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the output width. Definition at line 105 of file adaptive\+\_\+mean\+\_\+pooling.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1AdaptiveMeanPooling_a68e832cb064e3b7ca978d8e5911cf700}} \index{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Mean\+Pooling}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned int}]{version }\end{DoxyParamCaption})} Serialize the layer. Referenced by Adaptive\+Mean\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Output\+Size(). 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.\+2/src/mlpack/methods/ann/layer/\textbf{ adaptive\+\_\+mean\+\_\+pooling.\+hpp}\end{DoxyCompactItemize}