\section{Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+Type $>$ Class Template Reference}
\label{classmlpack_1_1ann_1_1LinearNoBias}\index{Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+Type $>$@{Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+Type $>$}}


Implementation of the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} class.  


\subsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
\textbf{ Linear\+No\+Bias} ()
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} object. \end{DoxyCompactList}\item 
\textbf{ Linear\+No\+Bias} (const size\+\_\+t in\+Size, const size\+\_\+t out\+Size, Regularizer\+Type regularizer=Regularizer\+Type())
\begin{DoxyCompactList}\small\item\em Create the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} 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 trough 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 $>$ \&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 
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 
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 
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}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\subsubsection*{template$<$typename Input\+Data\+Type = arma\+::mat, typename Output\+Data\+Type = arma\+::mat, typename Regularizer\+Type = No\+Regularizer$>$\newline
class mlpack\+::ann\+::\+Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+Type $>$}

Implementation of the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} class. 

The \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} class represents a single layer of a neural network.


\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_1LinearNoBias_ae45ae9733bb674209706ab745050a3a7}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Linear\+No\+Bias@{Linear\+No\+Bias}}
\index{Linear\+No\+Bias@{Linear\+No\+Bias}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\subsubsection{Linear\+No\+Bias()\hspace{0.1cm}{\footnotesize\ttfamily [1/2]}}
{\footnotesize\ttfamily \textbf{ Linear\+No\+Bias} (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})}



Create the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} object. 

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a346dd58c93aabc97297c21ead879277b}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Linear\+No\+Bias@{Linear\+No\+Bias}}
\index{Linear\+No\+Bias@{Linear\+No\+Bias}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\subsubsection{Linear\+No\+Bias()\hspace{0.1cm}{\footnotesize\ttfamily [2/2]}}
{\footnotesize\ttfamily \textbf{ Linear\+No\+Bias} (\begin{DoxyParamCaption}\item[{const size\+\_\+t}]{in\+Size,  }\item[{const size\+\_\+t}]{out\+Size,  }\item[{Regularizer\+Type}]{regularizer = {\ttfamily RegularizerType()} }\end{DoxyParamCaption})}



Create the \doxyref{Linear\+No\+Bias}{p.}{classmlpack_1_1ann_1_1LinearNoBias} 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 regularizer} & The regularizer to use, optional. \\
\hline
\end{DoxyParams}


\subsection{Member Function Documentation}
\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_ad9ad1a3bdb0f3fff5c839ed155e4bbf8}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Backward@{Backward}}
\index{Backward@{Backward}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 trough 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_1LinearNoBias_a797f7edb44dd081e5e2b3cc316eef6bd}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 111 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_ad6601342d560219ce951d554e69e5e87}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Delta@{Delta}}
\index{Delta@{Delta}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 113 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a461f849bc638c15bec262dc9c3a58abe}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Forward@{Forward}}
\index{Forward@{Forward}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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_1LinearNoBias_aaf577db350e2130754490d8486fba215}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 $>$ \&}]{gradient }\end{DoxyParamCaption})}

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a0f1f4e6d93472d83852731a96c8c3f59}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 122 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a19abce4739c3b0b658b612537e21956a}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Gradient@{Gradient}}
\index{Gradient@{Gradient}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 124 of file linear\+\_\+no\+\_\+bias.\+hpp.



References Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+Type $>$\+::serialize().

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_aaffd593b3ab627f8b5aae2a1f53634b0}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Input\+Parameter@{Input\+Parameter}}
\index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 101 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a063c3b1053c7979a7dd2e7bbd2bf1f8a}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Input\+Parameter@{Input\+Parameter}}
\index{Input\+Parameter@{Input\+Parameter}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 103 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a5a4c4984aa897a28d516e638e7ea5308}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Input\+Size@{Input\+Size}}
\index{Input\+Size@{Input\+Size}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 116 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a0ee21c2a36e5abad1e7a9d5dd00849f9}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 106 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a21d5f745f02c709625a4ee0907f004a5}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Output\+Parameter@{Output\+Parameter}}
\index{Output\+Parameter@{Output\+Parameter}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 108 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a99c1d948c984b9e76fb5e37e2145427a}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Output\+Size@{Output\+Size}}
\index{Output\+Size@{Output\+Size}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 119 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_aa530552c7ef915c952fbacc77b965c90}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Parameters@{Parameters}}
\index{Parameters@{Parameters}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 96 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a9c5c5900772a689d5a6b59778ec67120}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Parameters@{Parameters}}
\index{Parameters@{Parameters}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\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 98 of file linear\+\_\+no\+\_\+bias.\+hpp.

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_a372de693ad40b3f42839c8ec6ac845f4}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!Reset@{Reset}}
\index{Reset@{Reset}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\subsubsection{Reset()}
{\footnotesize\ttfamily void Reset (\begin{DoxyParamCaption}{ }\end{DoxyParamCaption})}

\mbox{\label{classmlpack_1_1ann_1_1LinearNoBias_af0dd9205158ccf7bcfcd8ff81f79c927}} 
\index{mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}!serialize@{serialize}}
\index{serialize@{serialize}!mlpack\+::ann\+::\+Linear\+No\+Bias@{mlpack\+::ann\+::\+Linear\+No\+Bias}}
\subsubsection{serialize()}
{\footnotesize\ttfamily void serialize (\begin{DoxyParamCaption}\item[{Archive \&}]{ar,  }\item[{const unsigned}]{int }\end{DoxyParamCaption})}



Serialize the layer. 



Referenced by Linear\+No\+Bias$<$ Input\+Data\+Type, Output\+Data\+Type, Regularizer\+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.\+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{ linear\+\_\+no\+\_\+bias.\+hpp}\end{DoxyCompactItemize}
