\section{Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1MiniBatchDiscrimination}\index{Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} Implementation of the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} layer. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Mini\+Batch\+Discrimination} () \begin{DoxyCompactList}\small\item\em Create the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} object. \end{DoxyCompactList}\item \textbf{ Mini\+Batch\+Discrimination} (const size\+\_\+t in\+Size, const size\+\_\+t out\+Size, const size\+\_\+t features) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} layer object using the specified number of units. \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 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 $>$ \&input, const arma\+::\+Mat$<$ eT $>$ \&, arma\+::\+Mat$<$ eT $>$ \&gradient) \begin{DoxyCompactList}\small\item\em Calculate the gradient using the output delta and the input activation. \end{DoxyCompactList}\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 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 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 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} () \begin{DoxyCompactList}\small\item\em Reset the layer 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\+::\+Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$} Implementation of the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} layer. \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} is a layer of the discriminator that allows the discriminator to look at multiple data examples in combination and perform what is called as mini-\/batch discrimination. This helps prevent the collapse of the generator parameters to a setting where it emits the same point. This happens because normally a discriminator will process each example independently and there will be no mechanism to diversify the outputs of the generator. For more information, see the following. \begin{DoxyCode} @article\{Goodfellow2016, author = \{Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen\}, title = \{Improved Techniques \textcolor{keywordflow}{for} Training GANs\}, year = \{2016\}, url = \{https:\textcolor{comment}{//arxiv.org/abs/1606.03498\},} \} \end{DoxyCode} \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 92 of file layer\+\_\+types.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_aace935add36e500114dd61141cf6a39b}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Mini\+Batch\+Discrimination@{Mini\+Batch\+Discrimination}} \index{Mini\+Batch\+Discrimination@{Mini\+Batch\+Discrimination}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \subsubsection{Mini\+Batch\+Discrimination()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily \textbf{ Mini\+Batch\+Discrimination} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Create the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} object. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_ac0d78345e6fc33b800254b147976117f}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Mini\+Batch\+Discrimination@{Mini\+Batch\+Discrimination}} \index{Mini\+Batch\+Discrimination@{Mini\+Batch\+Discrimination}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \subsubsection{Mini\+Batch\+Discrimination()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily \textbf{ Mini\+Batch\+Discrimination} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{in\+Size, }\item[{const size\+\_\+t}]{out\+Size, }\item[{const size\+\_\+t}]{features }\end{DoxyParamCaption})} Create the \doxyref{Mini\+Batch\+Discrimination}{p.}{classmlpack_1_1ann_1_1MiniBatchDiscrimination} layer object using the specified number of units. \begin{DoxyParams}{Parameters} {\em in\+Size} & The number of input units. \\ \hline {\em out\+Size} & The number of output units. \\ \hline {\em features} & The number of features to compute for each dimension. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 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_1MiniBatchDiscrimination_a797f7edb44dd081e5e2b3cc316eef6bd}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 128 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 130 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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_1MiniBatchDiscrimination_a71f069f4856fedfe74a22fca7198a882}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}} {\footnotesize\ttfamily void Gradient (\begin{DoxyParamCaption}\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{input, }\item[{const arma\+::\+Mat$<$ eT $>$ \&}]{, }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{gradient }\end{DoxyParamCaption})} Calculate the gradient using the output delta and the input activation. \begin{DoxyParams}{Parameters} {\em input} & The input parameter used for calculating the gradient. \\ \hline {\em error} & The calculated error. \\ \hline {\em gradient} & The calculated gradient. \\ \hline \end{DoxyParams} \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a0f1f4e6d93472d83852731a96c8c3f59}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 133 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a19abce4739c3b0b658b612537e21956a}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Gradient@{Gradient}} \index{Gradient@{Gradient}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 135 of file minibatch\+\_\+discrimination.\+hpp. References Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_aaffd593b3ab627f8b5aae2a1f53634b0}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 118 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a063c3b1053c7979a7dd2e7bbd2bf1f8a}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Input\+Parameter@{Input\+Parameter}} \index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 120 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a0ee21c2a36e5abad1e7a9d5dd00849f9}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 123 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 125 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_aa530552c7ef915c952fbacc77b965c90}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 113 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a9c5c5900772a689d5a6b59778ec67120}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Parameters@{Parameters}} \index{Parameters@{Parameters}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \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 115 of file minibatch\+\_\+discrimination.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_a372de693ad40b3f42839c8ec6ac845f4}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!Reset@{Reset}} \index{Reset@{Reset}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \subsubsection{Reset()} {\footnotesize\ttfamily void Reset (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})} Reset the layer parameter. \mbox{\label{classmlpack_1_1ann_1_1MiniBatchDiscrimination_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Mini\+Batch\+Discrimination@{mlpack\+::ann\+::\+Mini\+Batch\+Discrimination}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Mini\+Batch\+Discrimination$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Gradient(). The documentation for this class was generated from the following files\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/layer/\textbf{ layer\+\_\+types.\+hpp}\item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/layer/\textbf{ minibatch\+\_\+discrimination.\+hpp}\end{DoxyCompactItemize}