ebl::smooth_shrink_module< T, Tstate > Class Template Reference

#include <ebl_nonlinearity.h>

Inheritance diagram for ebl::smooth_shrink_module< T, Tstate >:

List of all members.

Public Member Functions
	smooth_shrink_module (parameter< T, Tstate > *p, intg nf, T beta=10, T bias=.3)
virtual	~smooth_shrink_module ()
	Destructor.
virtual void	fprop (Tstate &in, Tstate &out)
	forward
virtual void	bprop (Tstate &in, Tstate &out)
	backward
virtual void	bbprop (Tstate &in, Tstate &out)
	2nd deriv backward
virtual smooth_shrink_module < T, Tstate > *	copy ()
	Returns a deep copy of this module.
Public Attributes
Tstate	beta
Tstate	bias

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Detailed Description

template<typename T, class Tstate = bbstate_idx<T>>
class ebl::smooth_shrink_module< T, Tstate >

A smoothed shrinkage module that parametrizes the steepnes and location of the shrinkage operator. This function is useful for learning since there is always gradients flowing through it.

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Constructor & Destructor Documentation

template<typename T , class Tstate >

ebl::smooth_shrink_module< T, Tstate >::smooth_shrink_module	(	parameter< T, Tstate > *	p,
		intg	nf,
		T	beta = 10,
		T	bias = .3
	)

Constructor.

Parameters:

nf	The number of features.

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The documentation for this class was generated from the following files:

• /home/rex/ebltrunk/core/libeblearn/include/ebl_nonlinearity.h
• /home/rex/ebltrunk/core/libeblearn/include/ebl_nonlinearity.hpp