\section{Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$ Class Template Reference}
\label{classmlpack_1_1ann_1_1Sequential}\index{Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$@{Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$}}


Implementation of the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} class.  


\subsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
\textbf{ Sequential} (const bool model=true)
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object using the specified parameters. \end{DoxyCompactList}\item 
\textbf{ Sequential} (const bool model, const bool owns\+Layers)
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object using the specified parameters. \end{DoxyCompactList}\item 
\textbf{ Sequential} (const \textbf{ Sequential} \&layer)
\begin{DoxyCompactList}\small\item\em Copy constructor. \end{DoxyCompactList}\item 
\textbf{ $\sim$\+Sequential} ()
\begin{DoxyCompactList}\small\item\em Destroy the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Layer\+Type , class... Args$>$ }\\void \textbf{ Add} (Args... args)
\item 
void \textbf{ Add} (\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ layer)
\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, using 3rd-\/order tensors as input, calculating the function f(x) by propagating x backwards through f. \end{DoxyCompactList}\item 
arma\+::mat const  \& \textbf{ Delta} () const
\begin{DoxyCompactList}\small\item\em Get the delta. \end{DoxyCompactList}\item 
arma\+::mat \& \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 $>$ \&error, arma\+::\+Mat$<$ eT $>$ \&)
\item 
arma\+::mat const  \& \textbf{ Gradient} () const
\begin{DoxyCompactList}\small\item\em Get the gradient. \end{DoxyCompactList}\item 
arma\+::mat \& \textbf{ Gradient} ()
\begin{DoxyCompactList}\small\item\em Modify the gradient. \end{DoxyCompactList}\item 
arma\+::mat const  \& \textbf{ Input\+Parameter} () const
\begin{DoxyCompactList}\small\item\em Get the input parameter. \end{DoxyCompactList}\item 
arma\+::mat \& \textbf{ Input\+Parameter} ()
\begin{DoxyCompactList}\small\item\em Modify the input parameter. \end{DoxyCompactList}\item 
std\+::vector$<$ \textbf{ Layer\+Types}$<$ Custom\+Layers... $>$ $>$ \& \textbf{ Model} ()
\begin{DoxyCompactList}\small\item\em Return the model modules. \end{DoxyCompactList}\item 
\textbf{ Sequential} \& \textbf{ operator=} (const \textbf{ Sequential} \&layer)
\begin{DoxyCompactList}\small\item\em Copy assignment operator. \end{DoxyCompactList}\item 
arma\+::mat const  \& \textbf{ Output\+Parameter} () const
\begin{DoxyCompactList}\small\item\em Get the output parameter. \end{DoxyCompactList}\item 
arma\+::mat \& \textbf{ Output\+Parameter} ()
\begin{DoxyCompactList}\small\item\em Modify the output parameter. \end{DoxyCompactList}\item 
const arma\+::mat \& \textbf{ Parameters} () const
\begin{DoxyCompactList}\small\item\em Return the initial point for the optimization. \end{DoxyCompactList}\item 
arma\+::mat \& \textbf{ Parameters} ()
\begin{DoxyCompactList}\small\item\em Modify the initial point for the optimization. \end{DoxyCompactList}\item 
{\footnotesize template$<$typename Archive $>$ }\\void \textbf{ serialize} (Archive \&, 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, bool Residual = false, typename... Custom\+Layers$>$\newline
class mlpack\+::ann\+::\+Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$}

Implementation of the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} class. 

The sequential class works as a feed-\/forward fully connected network container which plugs various layers together.

This class can also be used as a container for a residual block. In that case, the sizes of the input and output matrices of this class should be equal. A typedef has been added for use as a Residual$<$$>$ class.

For more information, refer the following paper.


\begin{DoxyCode}
@article\{He15,
  author    = \{Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun\},
  title     = \{Deep Residual Learning \textcolor{keywordflow}{for} Image Recognition\},
  year      = \{2015\},
  url       = \{https:\textcolor{comment}{//arxiv.org/abs/1512.03385\},}
  eprint    = \{1512.03385\},
\}
\end{DoxyCode}


Note\+: If this class is used as the first layer of a network, it should be preceded by Identity\+Layer$<$$>$.

Note\+: This class should at least have two layers for a call to its \doxyref{Gradient()}{p.}{classmlpack_1_1ann_1_1Sequential_a59e16b7142696049a5543ff35547ebd9} function.


\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
{\em Residual} & If true, use the object as a Residual block. \\
\hline
\end{DoxyTemplParams}


Definition at line 124 of file layer\+\_\+types.\+hpp.



\subsection{Constructor \& Destructor Documentation}
\mbox{\label{classmlpack_1_1ann_1_1Sequential_a01b828c8a9d0398c7d899fe5a0159cf0}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Sequential@{Sequential}}
\index{Sequential@{Sequential}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Sequential()\hspace{0.1cm}{\footnotesize\ttfamily [1/3]}}
{\footnotesize\ttfamily \textbf{ Sequential} (\begin{DoxyParamCaption}\item[{const bool}]{model = {\ttfamily true} }\end{DoxyParamCaption})}



Create the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object using the specified parameters. 


\begin{DoxyParams}{Parameters}
{\em model} & Expose the all network modules. \\
\hline
\end{DoxyParams}
\mbox{\label{classmlpack_1_1ann_1_1Sequential_a54e8b8c60e747977fcb5d1d33181d2d6}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Sequential@{Sequential}}
\index{Sequential@{Sequential}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Sequential()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}}
{\footnotesize\ttfamily \textbf{ Sequential} (\begin{DoxyParamCaption}\item[{const bool}]{model,  }\item[{const bool}]{owns\+Layers }\end{DoxyParamCaption})}



Create the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object using the specified parameters. 


\begin{DoxyParams}{Parameters}
{\em model} & Expose all the network modules. \\
\hline
{\em owns\+Layers} & If true, then this module will delete its layers when deallocated. \\
\hline
\end{DoxyParams}
\mbox{\label{classmlpack_1_1ann_1_1Sequential_a146eb0ef8b57693cf58802961b1a1601}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Sequential@{Sequential}}
\index{Sequential@{Sequential}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Sequential()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}}
{\footnotesize\ttfamily \textbf{ Sequential} (\begin{DoxyParamCaption}\item[{const \textbf{ Sequential}$<$ Input\+Data\+Type, Output\+Data\+Type, \textbf{ Residual}, Custom\+Layers $>$ \&}]{layer }\end{DoxyParamCaption})}



Copy constructor. 

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a104b6c42467bc2edb7c514afca99bcec}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!````~Sequential@{$\sim$\+Sequential}}
\index{````~Sequential@{$\sim$\+Sequential}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{$\sim$\+Sequential()}
{\footnotesize\ttfamily $\sim$\textbf{ Sequential} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})}



Destroy the \doxyref{Sequential}{p.}{classmlpack_1_1ann_1_1Sequential} object. 



\subsection{Member Function Documentation}
\mbox{\label{classmlpack_1_1ann_1_1Sequential_a8b5234495846c00f6b2c8296ca6bc718}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Add@{Add}}
\index{Add@{Add}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{Args...}]{args }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Definition at line 142 of file sequential.\+hpp.



Referenced by Dueling\+D\+Q\+N$<$ Complete\+Network\+Type, Feature\+Network\+Type, Advantage\+Network\+Type, Value\+Network\+Type $>$\+::\+Dueling\+D\+Q\+N().

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a503a807740e6c729be9efc89520db728}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Add@{Add}}
\index{Add@{Add}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Add()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily void \textbf{ Add} (\begin{DoxyParamCaption}\item[{\textbf{ Layer\+Types}$<$ Custom\+Layers... $>$}]{layer }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Definition at line 149 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Backward@{Backward}}
\index{Backward@{Backward}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\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, 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 $\ast$} & (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_1Sequential_a6126fc05a10e2e988ea7e75aada214fd}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily arma\+::mat const\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}}



Get the delta. 



Definition at line 178 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a49c3606024580071e0c65e2e4d080e1e}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Delta()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily arma\+::mat\& Delta (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Modify the delta. 



Definition at line 180 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a461f849bc638c15bec262dc9c3a58abe}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Forward@{Forward}}
\index{Forward@{Forward}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\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_1Sequential_a505acb56ef67da2fc73190d3d4931969}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\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 $>$ \&}]{error,  }\item[{arma\+::\+Mat$<$ eT $>$ \&}]{ }\end{DoxyParamCaption})}

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a13444d1f198ceeef85e7a288a7d1d9c2}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [2/3]}}
{\footnotesize\ttfamily arma\+::mat const\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}}



Get the gradient. 



Definition at line 183 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a59e16b7142696049a5543ff35547ebd9}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Gradient()\hspace{0.1cm}{\footnotesize\ttfamily [3/3]}}
{\footnotesize\ttfamily arma\+::mat\& Gradient (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Modify the gradient. 



Definition at line 185 of file sequential.\+hpp.



References Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$\+::serialize().

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a9b1735296084fc571524101988744884}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Input\+Parameter@{Input\+Parameter}}
\index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily arma\+::mat const\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}}



Get the input parameter. 



Definition at line 168 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a818d585c592c80d8e8c101f67bc389ad}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Input\+Parameter@{Input\+Parameter}}
\index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Input\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily arma\+::mat\& Input\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Modify the input parameter. 



Definition at line 170 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a4cb1e93bff99ccf1f8f974065a3b13c3}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Model@{Model}}
\index{Model@{Model}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Model()}
{\footnotesize\ttfamily std\+::vector$<$\textbf{ Layer\+Types}$<$Custom\+Layers...$>$ $>$\& Model (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Return the model modules. 



Definition at line 152 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a806923a7f052d5b9a0966407899fc104}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!operator=@{operator=}}
\index{operator=@{operator=}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{operator=()}
{\footnotesize\ttfamily \textbf{ Sequential}\& operator= (\begin{DoxyParamCaption}\item[{const \textbf{ Sequential}$<$ Input\+Data\+Type, Output\+Data\+Type, \textbf{ Residual}, Custom\+Layers $>$ \&}]{layer }\end{DoxyParamCaption})}



Copy assignment operator. 

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a712dc230c489d0caf3175cbdfc59639f}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily arma\+::mat const\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}}



Get the output parameter. 



Definition at line 173 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a28ce681558d0bf02302f868d1c811f2a}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Output\+Parameter()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily arma\+::mat\& Output\+Parameter (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Modify the output parameter. 



Definition at line 175 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_aa68d74dc1e86e4352e00a3cab83a0e4a}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Parameters@{Parameters}}
\index{Parameters@{Parameters}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily const arma\+::mat\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption}) const\hspace{0.3cm}{\ttfamily [inline]}}



Return the initial point for the optimization. 



Definition at line 163 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_a043f0ccd62e6711a18e0d81047be9a0a}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!Parameters@{Parameters}}
\index{Parameters@{Parameters}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{Parameters()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily arma\+::mat\& Parameters (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})\hspace{0.3cm}{\ttfamily [inline]}}



Modify the initial point for the optimization. 



Definition at line 165 of file sequential.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1Sequential_aa5b3dd8336182f751ebec27167c22415}} 
\index{mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}!serialize@{serialize}}
\index{serialize@{serialize}!mlpack\+::ann\+::\+Sequential@{mlpack\+::ann\+::\+Sequential}}
\subsubsection{serialize()}
{\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{,  }\item[{const unsigned}]{int }\end{DoxyParamCaption})}



Serialize the layer. 



Referenced by Sequential$<$ Input\+Data\+Type, Output\+Data\+Type, Residual, Custom\+Layers $>$\+::\+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.\+2/src/mlpack/methods/ann/layer/\textbf{ layer\+\_\+types.\+hpp}\item 
/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+2/src/mlpack/methods/ann/layer/\textbf{ sequential.\+hpp}\end{DoxyCompactItemize}
