\section{Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1Convolution}\index{Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$@{Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$}} Implementation of the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} class. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Convolution} () \begin{DoxyCompactList}\small\item\em Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object. \end{DoxyCompactList}\item \textbf{ Convolution} (const size\+\_\+t in\+Size, const size\+\_\+t out\+Size, const size\+\_\+t kernel\+Width, const size\+\_\+t kernel\+Height, const size\+\_\+t stride\+Width=1, const size\+\_\+t stride\+Height=1, const size\+\_\+t padW=0, const size\+\_\+t padH=0, const size\+\_\+t input\+Width=0, const size\+\_\+t input\+Height=0, const std\+::string \&padding\+Type=\char`\"{}None\char`\"{}) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object using the specified number of input maps, output maps, filter size, stride and padding parameter. \end{DoxyCompactList}\item \textbf{ Convolution} (const size\+\_\+t in\+Size, const size\+\_\+t out\+Size, const size\+\_\+t kernel\+Width, const size\+\_\+t kernel\+Height, const size\+\_\+t stride\+Width, const size\+\_\+t stride\+Height, const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&padW, const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&padH, const size\+\_\+t input\+Width=0, const size\+\_\+t input\+Height=0, const std\+::string \&padding\+Type=\char`\"{}None\char`\"{}) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object using the specified number of input maps, output maps, filter size, stride and padding parameter. \end{DoxyCompactList}\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, calculating the function f(x) by propagating x backwards through f. \end{DoxyCompactList}\item arma\+::mat const \& \textbf{ Bias} () const \begin{DoxyCompactList}\small\item\em Get the bias of the layer. \end{DoxyCompactList}\item arma\+::mat \& \textbf{ Bias} () \begin{DoxyCompactList}\small\item\em Modify the bias of the layer. \end{DoxyCompactList}\item Output\+Data\+Type const \& \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 {\footnotesize template$<$typename eT $>$ }\\void \textbf{ Gradient} (const arma\+::\+Mat$<$ eT $>$ \&, const arma\+::\+Mat$<$ eT $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&gradient) \item Output\+Data\+Type const \& \textbf{ Gradient} () const \begin{DoxyCompactList}\small\item\em Get the gradient. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Gradient} () \begin{DoxyCompactList}\small\item\em Modify the gradient. \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 Input\+Data\+Type const \& \textbf{ Input\+Parameter} () const \begin{DoxyCompactList}\small\item\em Get the input parameter. \end{DoxyCompactList}\item Input\+Data\+Type \& \textbf{ Input\+Parameter} () \begin{DoxyCompactList}\small\item\em Modify the input parameter. \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 input the width. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Kernel\+Height} () const \begin{DoxyCompactList}\small\item\em Get the kernel height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Kernel\+Height} () \begin{DoxyCompactList}\small\item\em Modify the kernel height. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Kernel\+Width} () const \begin{DoxyCompactList}\small\item\em Get the kernel width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Kernel\+Width} () \begin{DoxyCompactList}\small\item\em Modify the kernel 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 Output\+Data\+Type const \& \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 size\+\_\+t \textbf{ Pad\+H\+Bottom} () const \begin{DoxyCompactList}\small\item\em Get the bottom padding height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Pad\+H\+Bottom} () \begin{DoxyCompactList}\small\item\em Modify the bottom padding height. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Pad\+H\+Top} () const \begin{DoxyCompactList}\small\item\em Get the top padding height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Pad\+H\+Top} () \begin{DoxyCompactList}\small\item\em Modify the top padding height. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Pad\+W\+Left} () const \begin{DoxyCompactList}\small\item\em Get the left padding width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Pad\+W\+Left} () \begin{DoxyCompactList}\small\item\em Modify the left padding width. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Pad\+W\+Right} () const \begin{DoxyCompactList}\small\item\em Get the right padding width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Pad\+W\+Right} () \begin{DoxyCompactList}\small\item\em Modify the right padding width. \end{DoxyCompactList}\item Output\+Data\+Type const \& \textbf{ Parameters} () const \begin{DoxyCompactList}\small\item\em Get the parameters. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Parameters} () \begin{DoxyCompactList}\small\item\em Modify the parameters. \end{DoxyCompactList}\item void \textbf{ Reset} () \item {\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&ar, const unsigned int) \begin{DoxyCompactList}\small\item\em Serialize the layer. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Stride\+Height} () const \begin{DoxyCompactList}\small\item\em Get the stride height. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Stride\+Height} () \begin{DoxyCompactList}\small\item\em Modify the stride height. \end{DoxyCompactList}\item size\+\_\+t \textbf{ Stride\+Width} () const \begin{DoxyCompactList}\small\item\em Get the stride width. \end{DoxyCompactList}\item size\+\_\+t \& \textbf{ Stride\+Width} () \begin{DoxyCompactList}\small\item\em Modify the stride width. \end{DoxyCompactList}\item arma\+::cube const \& \textbf{ Weight} () const \begin{DoxyCompactList}\small\item\em Get the weight of the layer. \end{DoxyCompactList}\item arma\+::cube \& \textbf{ Weight} () \begin{DoxyCompactList}\small\item\em Modify the weight of the layer. \end{DoxyCompactList}\end{DoxyCompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$typename Forward\+Convolution\+Rule = Naive\+Convolution$<$\+Valid\+Convolution$>$, typename Backward\+Convolution\+Rule = Naive\+Convolution$<$\+Full\+Convolution$>$, typename Gradient\+Convolution\+Rule = Naive\+Convolution$<$\+Valid\+Convolution$>$, typename Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat$>$\newline class mlpack\+::ann\+::\+Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$} Implementation of the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} class. The \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} class represents a single layer of a neural network. \begin{DoxyTemplParams}{Template Parameters} {\em Forward\+Convolution\+Rule} & \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} to perform forward process. \\ \hline {\em Backward\+Convolution\+Rule} & \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} to perform backward process. \\ \hline {\em Gradient\+Convolution\+Rule} & \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} to calculate gradient. \\ \hline {\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 48 of file convolution.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1Convolution_a69c44a99bce44870880eaf09730d4acc}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Convolution@{Convolution}} \index{Convolution@{Convolution}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Convolution()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily \textbf{ Convolution} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a7050bf30b7d9e31bd038c6427236e3ca}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Convolution@{Convolution}} \index{Convolution@{Convolution}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Convolution()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}} {\footnotesize\ttfamily \textbf{ Convolution} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{in\+Size, }\item[{const size\+\_\+t}]{out\+Size, }\item[{const size\+\_\+t}]{kernel\+Width, }\item[{const size\+\_\+t}]{kernel\+Height, }\item[{const size\+\_\+t}]{stride\+Width = {\ttfamily 1}, }\item[{const size\+\_\+t}]{stride\+Height = {\ttfamily 1}, }\item[{const size\+\_\+t}]{padW = {\ttfamily 0}, }\item[{const size\+\_\+t}]{padH = {\ttfamily 0}, }\item[{const size\+\_\+t}]{input\+Width = {\ttfamily 0}, }\item[{const size\+\_\+t}]{input\+Height = {\ttfamily 0}, }\item[{const std\+::string \&}]{padding\+Type = {\ttfamily \char`\"{}None\char`\"{}} }\end{DoxyParamCaption})} Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object using the specified number of input maps, output maps, filter size, stride and padding parameter. \begin{DoxyParams}{Parameters} {\em in\+Size} & The number of input maps. \\ \hline {\em out\+Size} & The number of output maps. \\ \hline {\em kernel\+Width} & Width of the filter/kernel. \\ \hline {\em kernel\+Height} & Height of the filter/kernel. \\ \hline {\em stride\+Width} & Stride of filter application in the x direction. \\ \hline {\em stride\+Height} & Stride of filter application in the y direction. \\ \hline {\em padW} & \doxyref{Padding}{p.}{classmlpack_1_1ann_1_1Padding} width of the input. \\ \hline {\em padH} & \doxyref{Padding}{p.}{classmlpack_1_1ann_1_1Padding} height of the input. \\ \hline {\em input\+Width} & The width of the input data. \\ \hline {\em input\+Height} & The height of the input data. \\ \hline {\em padding\+Type} & The type of padding (Valid or Same). Defaults to None. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1Convolution_a83aba4b04132dd114cf8e15d31ac1600}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Convolution@{Convolution}} \index{Convolution@{Convolution}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Convolution()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}} {\footnotesize\ttfamily \textbf{ Convolution} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{in\+Size, }\item[{const size\+\_\+t}]{out\+Size, }\item[{const size\+\_\+t}]{kernel\+Width, }\item[{const size\+\_\+t}]{kernel\+Height, }\item[{const size\+\_\+t}]{stride\+Width, }\item[{const size\+\_\+t}]{stride\+Height, }\item[{const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&}]{padW, }\item[{const std\+::tuple$<$ size\+\_\+t, size\+\_\+t $>$ \&}]{padH, }\item[{const size\+\_\+t}]{input\+Width = {\ttfamily 0}, }\item[{const size\+\_\+t}]{input\+Height = {\ttfamily 0}, }\item[{const std\+::string \&}]{padding\+Type = {\ttfamily \char`\"{}None\char`\"{}} }\end{DoxyParamCaption})} Create the \doxyref{Convolution}{p.}{classmlpack_1_1ann_1_1Convolution} object using the specified number of input maps, output maps, filter size, stride and padding parameter. \begin{DoxyParams}{Parameters} {\em in\+Size} & The number of input maps. \\ \hline {\em out\+Size} & The number of output maps. \\ \hline {\em kernel\+Width} & Width of the filter/kernel. \\ \hline {\em kernel\+Height} & Height of the filter/kernel. \\ \hline {\em stride\+Width} & Stride of filter application in the x direction. \\ \hline {\em stride\+Height} & Stride of filter application in the y direction. \\ \hline {\em padW} & A two-\/value tuple indicating padding widths of the input. First value is padding at left side. Second value is padding on right side. \\ \hline {\em padH} & A two-\/value tuple indicating padding heights of the input. First value is padding at top. Second value is padding on bottom. \\ \hline {\em input\+Width} & The width of the input data. \\ \hline {\em input\+Height} & The height of the input data. \\ \hline {\em padding\+Type} & The type of padding (Valid or Same). Defaults to None. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1Convolution_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Backward()} {\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, calculating the function f(x) by propagating x backwards through f. Using the results from the feed forward pass. \begin{DoxyParams}{Parameters} {\em $\ast$} & (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_1Convolution_ab94cce6a9d6baed0badd20f4a409e9af}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Bias@{Bias}} \index{Bias@{Bias}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Bias()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily arma\+::mat const\& Bias (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the bias of the layer. Definition at line 166 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a398f0702633d5ba7afe6057d25f4b78c}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Bias@{Bias}} \index{Bias@{Bias}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Bias()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::mat\& Bias (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the bias of the layer. Definition at line 168 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a797f7edb44dd081e5e2b3cc316eef6bd}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the delta. Definition at line 181 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 183 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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_1Convolution_a9eb69a40c783e082307be5cb1ffab921}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{error, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{gradient }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1Convolution_a0f1f4e6d93472d83852731a96c8c3f59}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the gradient. Definition at line 186 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a19abce4739c3b0b658b612537e21956a}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}} {\footnotesize\ttfamily Output\+Data\+Type\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the gradient. Definition at line 188 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_ac34354aab4ed6f9145908b19eade6a24}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Height@{Input\+Height}} \index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 196 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_aefbba724eec397a928d5460bb209a360}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Height@{Input\+Height}} \index{Input\+Height@{Input\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 198 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_aaffd593b3ab627f8b5aae2a1f53634b0}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Input\+Data\+Type const\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the input parameter. Definition at line 171 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a063c3b1053c7979a7dd2e7bbd2bf1f8a}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Input\+Data\+Type\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the input parameter. Definition at line 173 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a5a4c4984aa897a28d516e638e7ea5308}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Size@{Input\+Size}} \index{Input\+Size@{Input\+Size}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 211 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a432efdff77411903044ae87ec3aec70f}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Width@{Input\+Width}} \index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 191 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a238e9d308df611a9300a4ca6756fef4d}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Input\+Width@{Input\+Width}} \index{Input\+Width@{Input\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 input the width. Definition at line 193 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a6c15e2e3416651fac44621acbbdac9e9}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Kernel\+Height@{Kernel\+Height}} \index{Kernel\+Height@{Kernel\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Kernel\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Kernel\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the kernel height. Definition at line 222 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a46b2c28d89959067f549f9f45d2626c5}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Kernel\+Height@{Kernel\+Height}} \index{Kernel\+Height@{Kernel\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Kernel\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Kernel\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the kernel height. Definition at line 224 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a656302bc9b300692aa71abe2a614c7b1}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Kernel\+Width@{Kernel\+Width}} \index{Kernel\+Width@{Kernel\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Kernel\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Kernel\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the kernel width. Definition at line 217 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a5fbae452ceda395f5566833e06ba3615}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Kernel\+Width@{Kernel\+Width}} \index{Kernel\+Width@{Kernel\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Kernel\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Kernel\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the kernel width. Definition at line 219 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a96a6294ed9ca8d24be9bb5eb53db7f25}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Height@{Output\+Height}} \index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 206 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_ac5112abf9f5e1face13ed965a8755b1d}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Height@{Output\+Height}} \index{Output\+Height@{Output\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 208 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a0ee21c2a36e5abad1e7a9d5dd00849f9}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the output parameter. Definition at line 176 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 178 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a99c1d948c984b9e76fb5e37e2145427a}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Size@{Output\+Size}} \index{Output\+Size@{Output\+Size}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 214 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_aa2b647f9e029826314b4f572fe96878d}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Width@{Output\+Width}} \index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 201 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a54579ec9924e2a4a5bc0a4fb822ce80c}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Output\+Width@{Output\+Width}} \index{Output\+Width@{Output\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \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 203 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a7772e9861fa1c1922b00428172315939}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+H\+Bottom@{Pad\+H\+Bottom}} \index{Pad\+H\+Bottom@{Pad\+H\+Bottom}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+H\+Bottom()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Pad\+H\+Bottom (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the bottom padding height. Definition at line 242 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a49d01b2dacca58ba01d883045100b823}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+H\+Bottom@{Pad\+H\+Bottom}} \index{Pad\+H\+Bottom@{Pad\+H\+Bottom}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+H\+Bottom()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Pad\+H\+Bottom (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the bottom padding height. Definition at line 244 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_ae6d766575008c2909e51d00b1ef619a1}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+H\+Top@{Pad\+H\+Top}} \index{Pad\+H\+Top@{Pad\+H\+Top}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+H\+Top()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Pad\+H\+Top (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the top padding height. Definition at line 237 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a9ea976eb369189ecbe7be7e53e323d5e}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+H\+Top@{Pad\+H\+Top}} \index{Pad\+H\+Top@{Pad\+H\+Top}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+H\+Top()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Pad\+H\+Top (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the top padding height. Definition at line 239 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a353cb5238a6b33f0d740c3ab17da11b4}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+W\+Left@{Pad\+W\+Left}} \index{Pad\+W\+Left@{Pad\+W\+Left}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+W\+Left()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Pad\+W\+Left (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the left padding width. Definition at line 247 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a10cf922741cd487e0904c933e6500760}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+W\+Left@{Pad\+W\+Left}} \index{Pad\+W\+Left@{Pad\+W\+Left}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+W\+Left()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Pad\+W\+Left (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the left padding width. Definition at line 249 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a7f164b19d31d8d4ec4988513c139bf55}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+W\+Right@{Pad\+W\+Right}} \index{Pad\+W\+Right@{Pad\+W\+Right}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+W\+Right()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Pad\+W\+Right (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the right padding width. Definition at line 252 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a97efc672230a48247bd19a1bcd51624f}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Pad\+W\+Right@{Pad\+W\+Right}} \index{Pad\+W\+Right@{Pad\+W\+Right}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Pad\+W\+Right()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Pad\+W\+Right (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the right padding width. Definition at line 254 of file convolution.\+hpp. References Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1Convolution_aa530552c7ef915c952fbacc77b965c90}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily Output\+Data\+Type const\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the parameters. Definition at line 156 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a9c5c5900772a689d5a6b59778ec67120}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily Output\+Data\+Type\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the parameters. Definition at line 158 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a372de693ad40b3f42839c8ec6ac845f4}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Reset@{Reset}} \index{Reset@{Reset}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Reset()} {\footnotesize\ttfamily void Reset (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} \mbox{\label{classmlpack_1_1ann_1_1Convolution_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Convolution$<$ Forward\+Convolution\+Rule, Backward\+Convolution\+Rule, Gradient\+Convolution\+Rule, Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Pad\+W\+Right(). \mbox{\label{classmlpack_1_1ann_1_1Convolution_a1894b819a7ff82a5576fc8deb8ba7457}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Stride\+Height@{Stride\+Height}} \index{Stride\+Height@{Stride\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Stride\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Stride\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the stride height. Definition at line 232 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a0dd3de9c8a9060e927c575b57a021e8b}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Stride\+Height@{Stride\+Height}} \index{Stride\+Height@{Stride\+Height}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Stride\+Height()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Stride\+Height (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the stride height. Definition at line 234 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_ad8fd9eb6de956c3e9d82242793fd2db1}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Stride\+Width@{Stride\+Width}} \index{Stride\+Width@{Stride\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Stride\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily size\+\_\+t Stride\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the stride width. Definition at line 227 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_af40557db9372b513440e06a5e42cc599}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Stride\+Width@{Stride\+Width}} \index{Stride\+Width@{Stride\+Width}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Stride\+Width()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily size\+\_\+t\& Stride\+Width (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the stride width. Definition at line 229 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a18753fb91ac2d21cb52a432cfa0253e5}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Weight@{Weight}} \index{Weight@{Weight}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Weight()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily arma\+::cube const\& Weight (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} Get the weight of the layer. Definition at line 161 of file convolution.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Convolution_a7efcee6fad13ea8a7a431168fe0ad55a}} \index{mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}!Weight@{Weight}} \index{Weight@{Weight}!mlpack\+::ann\+::\+Convolution@{mlpack\+::ann\+::\+Convolution}} \subsubsection{Weight()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily arma\+::cube\& Weight (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the weight of the layer. Definition at line 163 of file convolution.\+hpp. 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{ convolution.\+hpp}\end{DoxyCompactItemize}