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Classes
class	SoftShrink< InputDataType, OutputDataType >
	Soft Shrink operator is defined as, $\begin{eqnarray} f(x) &=& \left\{ \begin{array}{lr} x - lambda & : x > lambda \\ x + lambda & : x < -lambda \\ 0 & : otherwise \end{array} \\ \right. f'(x) &=& \left\{ \begin{array}{lr} 1 & : x > lambda \\ 1 & : x < -lambda \\ 0 & : otherwise \end{array} \right. \end{eqnarray}$ . More...

Namespaces
	mlpack
	strip_type.hpp

	mlpack::ann
	Artificial Neural Network.

Detailed Description

Author: Lakshya Ojha

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 CNN(Convolution Neural) without a requirement to train a unique CNN for each noise level.

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

Definition in file softshrink.hpp.

Classes

Namespaces

Detailed Description