\section{Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$ Class Template Reference} \label{classmlpack_1_1ann_1_1Dropout}\index{Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$@{Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$}} The dropout layer is a regularizer that randomly with probability \textquotesingle{}ratio\textquotesingle{} sets input values to zero and scales the remaining elements by factor 1 / (1 -\/ ratio) rather than during test time so as to keep the expected sum same. \subsection*{Public Member Functions} \begin{DoxyCompactItemize} \item \textbf{ Dropout} (const double ratio=0.\+5) \begin{DoxyCompactList}\small\item\em Create the \doxyref{Dropout}{p.}{classmlpack_1_1ann_1_1Dropout} object using the specified ratio 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 the dropout layer. \end{DoxyCompactList}\item Output\+Data\+Type const \& \textbf{ Delta} () const \begin{DoxyCompactList}\small\item\em Get the detla. \end{DoxyCompactList}\item Output\+Data\+Type \& \textbf{ Delta} () \begin{DoxyCompactList}\small\item\em Modify the delta. \end{DoxyCompactList}\item bool \textbf{ Deterministic} () const \begin{DoxyCompactList}\small\item\em The value of the deterministic parameter. \end{DoxyCompactList}\item bool \& \textbf{ Deterministic} () \begin{DoxyCompactList}\small\item\em Modify the value of the deterministic parameter. \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 the dropout layer. \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 double \textbf{ Ratio} () const \begin{DoxyCompactList}\small\item\em The probability of setting a value to zero. \end{DoxyCompactList}\item void \textbf{ Ratio} (const double r) \begin{DoxyCompactList}\small\item\em Modify the probability of setting a value to zero. \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\+::\+Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$} The dropout layer is a regularizer that randomly with probability \textquotesingle{}ratio\textquotesingle{} sets input values to zero and scales the remaining elements by factor 1 / (1 -\/ ratio) rather than during test time so as to keep the expected sum same. In the deterministic mode (during testing), there is no change in the input. Note\+: During training you should set deterministic to false and during testing you should set deterministic to true. For more information, see the following. \begin{DoxyCode} @article\{Hinton2012, author = \{Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov\}, title = \{Improving neural networks by preventing co-adaptation of feature detectors\}, journal = \{CoRR\}, volume = \{abs/1207.0580\}, year = \{2012\}, url = \{https:\textcolor{comment}{//arxiv.org/abs/1207.0580\}} \} \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 53 of file dropout.\+hpp. \subsection{Constructor \& Destructor Documentation} \mbox{\label{classmlpack_1_1ann_1_1Dropout_a64085a3ae3820eef527a03699f7c284e}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Dropout@{Dropout}} \index{Dropout@{Dropout}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{Dropout()} {\footnotesize\ttfamily \textbf{ Dropout} (\begin{DoxyParamCaption}\item[{const double}]{ratio = {\ttfamily 0.5} }\end{DoxyParamCaption})} Create the \doxyref{Dropout}{p.}{classmlpack_1_1ann_1_1Dropout} object using the specified ratio parameter. \begin{DoxyParams}{Parameters} {\em ratio} & The probability of setting a value to zero. \\ \hline \end{DoxyParams} \subsection{Member Function Documentation} \mbox{\label{classmlpack_1_1ann_1_1Dropout_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Backward@{Backward}} \index{Backward@{Backward}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 the dropout layer. \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_1Dropout_a797f7edb44dd081e5e2b3cc316eef6bd}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 detla. Definition at line 90 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_ad6601342d560219ce951d554e69e5e87}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Delta@{Delta}} \index{Delta@{Delta}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 92 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a9f4103707f4d199ce5594d239b60443e}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Deterministic@{Deterministic}} \index{Deterministic@{Deterministic}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{Deterministic()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily bool Deterministic (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} The value of the deterministic parameter. Definition at line 95 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a42d4ee3da432cff20d3a41b8b1ec801c}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Deterministic@{Deterministic}} \index{Deterministic@{Deterministic}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{Deterministic()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily bool\& Deterministic (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the value of the deterministic parameter. Definition at line 97 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a461f849bc638c15bec262dc9c3a58abe}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Forward@{Forward}} \index{Forward@{Forward}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 the dropout layer. \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_1Dropout_a0ee21c2a36e5abad1e7a9d5dd00849f9}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 85 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a21d5f745f02c709625a4ee0907f004a5}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Output\+Parameter@{Output\+Parameter}} \index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \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 87 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a0052f2d1427761ea25fb01a05d966a40}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Ratio@{Ratio}} \index{Ratio@{Ratio}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{Ratio()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}} {\footnotesize\ttfamily double Ratio (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}} The probability of setting a value to zero. Definition at line 100 of file dropout.\+hpp. \mbox{\label{classmlpack_1_1ann_1_1Dropout_a9ca65c8f62aa7b45b5b08899d83d2821}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!Ratio@{Ratio}} \index{Ratio@{Ratio}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{Ratio()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}} {\footnotesize\ttfamily void Ratio (\begin{DoxyParamCaption}\item[{const double}]{r }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}} Modify the probability of setting a value to zero. Definition at line 103 of file dropout.\+hpp. References Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::serialize(). \mbox{\label{classmlpack_1_1ann_1_1Dropout_af0dd9205158ccf7bcfcd8ff81f79c927}} \index{mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}!serialize@{serialize}} \index{serialize@{serialize}!mlpack\+::ann\+::\+Dropout@{mlpack\+::ann\+::\+Dropout}} \subsubsection{serialize()} {\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar, }\item[{const unsigned}]{int }\end{DoxyParamCaption})} Serialize the layer. Referenced by Dropout$<$ Input\+Data\+Type, Output\+Data\+Type $>$\+::\+Ratio(). The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize} \item /var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+1/src/mlpack/methods/ann/layer/\textbf{ dropout.\+hpp}\end{DoxyCompactItemize}