#include <ebl_layers.h>

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

Public Member Functions
	convabsnorm_layer (parameter< T, Tstate > p, intg kerneli, intg kernelj, intg stridei, intg stridej, idx< intg > &tbl, bool mirror=false, bool tanh=true, const char name="convabsnorm_layer")
virtual	~convabsnorm_layer ()
	Destructor.
void	fprop (Tstate &in, Tstate &out)
	fprop from in to out
void	bprop (Tstate &in, Tstate &out)
	bprop
void	bbprop (Tstate &in, Tstate &out)
	bbprop
void	forget (forget_param_linear &fp)
	initialize the weights to random values
virtual fidxdim	fprop_size (fidxdim &i_size)
virtual fidxdim	bprop_size (const fidxdim &o_size)
virtual convabsnorm_layer< T, Tstate > *	copy ()
	Returns a deep copy of this module.
Public Attributes
convolution_layer< T, Tstate >	lconv
	convolution layer
abs_module< T, Tstate >	abs
	absolute rectification
contrast_norm_module< T, Tstate >	norm
	constrast normalization
Tstate *	tmp
	temporary results
Tstate *	tmp2
	temporary results

Detailed Description

a convolution layer with absolute rectification and constrast normalization

Constructor & Destructor Documentation

template<typename T , class Tstate >

ebl::convabsnorm_layer< T, Tstate >::convabsnorm_layer	(	parameter< T, Tstate > *	p,
		intg	kerneli,
		intg	kernelj,
		intg	stridei,
		intg	stridej,
		idx< intg > &	tbl,
		bool	mirror = `false`,
		bool	tanh = `true`,
		const char *	name = `"convabsnorm_layer< T, Tstate >"`
	)

constructor. Arguments are a pointer to a parameter in which the trainable weights will be appended, the number of inputs, and the number of outputs.

Parameters:

p	is used to store all parametric variables in a single place.
kerneli	is the height of the convolution kernel
kernelj	is the width of the convolution kernel
stridei	is the stride at which convolutions are done on the height axis.
stridej	is the stride at which convolutions are done on the width axis.
table	is the convolution connection table.
tanh	If true, use tanh squasher, stdsigmoid otherwise.

template<typename T , class Tstate >

fidxdim ebl::convabsnorm_layer< T, Tstate >::bprop_size ( const fidxdim & o_size ) [virtual]

Return dimensions compatible with this module given output dimensions. See module_1_1_gen's documentation for more details.

template<typename T , class Tstate >

fidxdim ebl::convabsnorm_layer< T, Tstate >::fprop_size ( fidxdim & i_size ) [virtual]

Return dimensions that are compatible with this module. See module_1_1_gen's documentation for more details.

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