\section{Adaptive\+Max\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference}
\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling}\index{Adaptive\+Max\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Adaptive\+Max\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$}}


Implementation of the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} layer.  


\subsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
\textbf{ Adaptive\+Max\+Pooling} ()
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} object. \end{DoxyCompactList}\item 
\textbf{ Adaptive\+Max\+Pooling} (const size\+\_\+t output\+Width, const size\+\_\+t output\+Height)
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} object. \end{DoxyCompactList}\item 
\textbf{ Adaptive\+Max\+Pooling} (const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&output\+Shape)
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} 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\+Max\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$}

Implementation of the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} layer. 


\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 33 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.



\subsection{Constructor \& Destructor Documentation}
\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a3339216e55c98d710d1fdd2ed7b971a2}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}}
\index{Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}}
\subsubsection{Adaptive\+Max\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}}
{\footnotesize\ttfamily \textbf{ Adaptive\+Max\+Pooling} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})}



Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} object. 

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a6c3e204b125fcf81fb3c321ad7505584}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}}
\index{Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}}
\subsubsection{Adaptive\+Max\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}}
{\footnotesize\ttfamily \textbf{ Adaptive\+Max\+Pooling} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{output\+Width,  }\item[{const size\+\_\+t}]{output\+Height }\end{DoxyParamCaption})}



Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} 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_1AdaptiveMaxPooling_a94c64efa8409f58a7a11bf3b16331750}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}}
\index{Adaptive\+Max\+Pooling@{Adaptive\+Max\+Pooling}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}}
\subsubsection{Adaptive\+Max\+Pooling()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}}
{\footnotesize\ttfamily \textbf{ Adaptive\+Max\+Pooling} (\begin{DoxyParamCaption}\item[{const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&}]{output\+Shape }\end{DoxyParamCaption})}



Create the \doxyref{Adaptive\+Max\+Pooling}{p.}{classmlpack_1_1ann_1_1AdaptiveMaxPooling} 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_1AdaptiveMaxPooling_a78dbad83871f43db1975e45a9a69c376}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Backward@{Backward}}
\index{Backward@{Backward}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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_1AdaptiveMaxPooling_a1590f28691f13bf27566777c35e2296c}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 87 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_ad6601342d560219ce951d554e69e5e87}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 89 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a461f849bc638c15bec262dc9c3a58abe}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Forward@{Forward}}
\index{Forward@{Forward}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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_1AdaptiveMaxPooling_ac34354aab4ed6f9145908b19eade6a24}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Input\+Height@{Input\+Height}}
\index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 97 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_aefbba724eec397a928d5460bb209a360}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Input\+Height@{Input\+Height}}
\index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 99 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a5a4c4984aa897a28d516e638e7ea5308}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Input\+Size@{Input\+Size}}
\index{Input\+Size@{Input\+Size}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 112 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a432efdff77411903044ae87ec3aec70f}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Input\+Width@{Input\+Width}}
\index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 92 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a238e9d308df611a9300a4ca6756fef4d}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Input\+Width@{Input\+Width}}
\index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 94 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a96a6294ed9ca8d24be9bb5eb53db7f25}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Height@{Output\+Height}}
\index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 107 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_ac5112abf9f5e1face13ed965a8755b1d}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Height@{Output\+Height}}
\index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 109 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a0d51eabd0467ab5261d828a6cb0cd94e}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 80 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a21d5f745f02c709625a4ee0907f004a5}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 84 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a99c1d948c984b9e76fb5e37e2145427a}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Size@{Output\+Size}}
\index{Output\+Size@{Output\+Size}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 115 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.



References Log\+::\+Fatal, and Adaptive\+Max\+Pooling$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize().

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_aa2b647f9e029826314b4f572fe96878d}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Width@{Output\+Width}}
\index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 102 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a54579ec9924e2a4a5bc0a4fb822ce80c}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!Output\+Width@{Output\+Width}}
\index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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 104 of file adaptive\+\_\+max\+\_\+pooling.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1AdaptiveMaxPooling_a68e832cb064e3b7ca978d8e5911cf700}} 
\index{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+Pooling}!serialize@{serialize}}
\index{serialize@{serialize}!mlpack\+::ann\+::\+Adaptive\+Max\+Pooling@{mlpack\+::ann\+::\+Adaptive\+Max\+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\+Max\+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-\/git/src/mlpack/methods/ann/layer/\textbf{ adaptive\+\_\+max\+\_\+pooling.\+hpp}\end{DoxyCompactItemize}
