\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/3.3.0/src/mlpack/methods/ann/layer/softshrink.hpp File Reference}
\label{softshrink_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/methods/ann/layer/softshrink.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/3.\+3.\+0/src/mlpack/methods/ann/layer/softshrink.\+hpp}}
Include dependency graph for softshrink.\+hpp\+:
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This graph shows which files directly or indirectly include this file\+:
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ Soft\+Shrink$<$ Input\+Data\+Type, Output\+Data\+Type $>$}
\begin{DoxyCompactList}\small\item\em Soft Shrink operator is defined as, \begin{eqnarray*} f(x) &=& \left\{ \begin{array}{lr} x - lambda & : x > lambda \\ x + lambda & : x < -lambda \\ 0 & : otherwise \end{array} \\ \right. f'(x) &=& \left\{ \begin{array}{lr} 1 & : x > lambda \\ 1 & : x < -lambda \\ 0 & : otherwise \end{array} \right. \end{eqnarray*}. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em strip\+\_\+type.\+hpp \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::ann}
\begin{DoxyCompactList}\small\item\em Artificial Neural Network. \end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Lakshya Ojha
\end{DoxyAuthor}
The soft shrink function has threshold proportional to the noise level given by the user. The use of a Soft Shrink activation function provides adaptive denoising at various noise levels using a single C\+N\+N(\+Convolution Neural) without a requirement to train a unique C\+NN for each noise level.

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.