ebl::lenet7_binocular< T, Tstate > Class Template Reference

#include <ebl_machines.h>

Inheritance diagram for ebl::lenet7_binocular< T, Tstate >:

List of all members.

Public Member Functions
	lenet7_binocular (parameter< T, Tstate > &prm, intg image_height, intg image_width, intg output_size, bool norm=false, bool mirror=false, bool tanh=false, bool shrink=false, bool diag=false)

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Detailed Description

template<typename T, class Tstate = bbstate_idx<T>>
class ebl::lenet7_binocular< T, Tstate >

Lenet7_binocular, similar to lenet5 with different neural connections. This network expects a 2-layer image containing each stereoscopic left and right images.

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Constructor & Destructor Documentation

template<typename T , class Tstate >

ebl::lenet7_binocular< T, Tstate >::lenet7_binocular	(	parameter< T, Tstate > &	prm,
		intg	image_height,
		intg	image_width,
		intg	output_size,
		bool	norm = false,
		bool	mirror = false,
		bool	tanh = false,
		bool	shrink = false,
		bool	diag = false
	)

Parameters:

output_size

the number of ouputs. For a 5 class classifier like NORB, this would be 5.

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

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