Inheritance diagram for ProbabilisticLayerForwardPropagation:

Public Member Functions
	ProbabilisticLayerForwardPropagation (const Index &new_batch_samples_number, Layer *new_layer_pointer)

void	set (const Index &new_batch_samples_number, Layer *new_layer_pointer)

void	print () const

Public Member Functions inherited from LayerForwardPropagation
	LayerForwardPropagation ()
	Default constructor. More...

Public Attributes
Tensor< type, 2 >	combinations

Tensor< type, 2 >	activations

Tensor< type, 3 >	activations_derivatives

Public Attributes inherited from LayerForwardPropagation
Index	batch_samples_number = 0

Layer *	layer_pointer = nullptr

Detailed Description

Definition at line 231 of file probabilistic_layer.h.

Constructor & Destructor Documentation

◆ ProbabilisticLayerForwardPropagation() [1/2]

ProbabilisticLayerForwardPropagation ( )

inlineexplicit

Definition at line 235 of file probabilistic_layer.h.

◆ ProbabilisticLayerForwardPropagation() [2/2]

ProbabilisticLayerForwardPropagation	(	const Index &	new_batch_samples_number,
		Layer *	new_layer_pointer
	)

inlineexplicit

Definition at line 241 of file probabilistic_layer.h.

Member Function Documentation

◆ print()

void print ( ) const

inlinevirtual

Reimplemented from LayerForwardPropagation.

Definition at line 263 of file probabilistic_layer.h.

◆ set()

void set	(	const Index &	new_batch_samples_number,
		Layer *	new_layer_pointer
	)

inlinevirtual

Reimplemented from LayerForwardPropagation.

Definition at line 247 of file probabilistic_layer.h.

Member Data Documentation

◆ activations

Tensor<type, 2> activations

Definition at line 276 of file probabilistic_layer.h.

◆ activations_derivatives

Tensor<type, 3> activations_derivatives

Definition at line 277 of file probabilistic_layer.h.

◆ combinations

Tensor<type, 2> combinations

Definition at line 275 of file probabilistic_layer.h.

The documentation for this struct was generated from the following file:

probabilistic_layer.h

Public Member Functions

Public Attributes