\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/layer/base\+\_\+layer.hpp File Reference}
\label{base__layer_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/layer/base\+\_\+layer.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/ann/layer/base\+\_\+layer.\+hpp}}
Include dependency graph for base\+\_\+layer.\+hpp\+:
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$}
\begin{DoxyCompactList}\small\item\em Implementation of the base layer. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::ann}
\begin{DoxyCompactList}\small\item\em Artificial Neural Network. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Typedefs}
\begin{DoxyCompactItemize}
\item 
{\footnotesize template$<$class Activation\+Function  = Elish\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Elish\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard E\+Li\+S\+H-\/\+Layer using the E\+Li\+SH activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Elliot\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Elliot\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Elliot-\/\+Layer using the Elliot activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Gaussian\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Gaussian\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Gaussian-\/\+Layer using the Gaussian activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = G\+E\+L\+U\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ G\+E\+L\+U\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard G\+E\+L\+U-\/\+Layer using the G\+E\+LU activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Hard\+Sigmoid\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Hard\+Sigmoid\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Hard\+Sigmoid-\/\+Layer using the Hard\+Sigmoid activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Identity\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Identity\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Identity-\/\+Layer using the identity activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Li\+S\+H\+T\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Li\+S\+H\+T\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Li\+S\+H\+T-\/\+Layer using the Li\+S\+HT activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Mish\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Mish\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Mish-\/\+Layer using the Mish activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Rectifier\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Re\+L\+U\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard rectified linear unit non-\/linearity layer. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Logistic\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Sigmoid\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Sigmoid-\/\+Layer using the logistic activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Softplus\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Soft\+Plus\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Softplus-\/\+Layer using the Softplus activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Swish\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Swish\+Function\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard Swish-\/\+Layer using the Swish activation function. \end{DoxyCompactList}\item 
{\footnotesize template$<$class Activation\+Function  = Tanh\+Function, typename Input\+Data\+Type  = arma\+::mat, typename Output\+Data\+Type  = arma\+::mat$>$ }\\using \textbf{ Tan\+H\+Layer} = Base\+Layer$<$ Activation\+Function, Input\+Data\+Type, Output\+Data\+Type $>$
\begin{DoxyCompactList}\small\item\em Standard hyperbolic tangent layer. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Marcus Edel
\end{DoxyAuthor}
Definition of the Base\+Layer class, which attaches various functions to the embedding layer.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information.