Neural::Fc_Layer Class Reference

#include <fc_layer.h>

Inheritance diagram for Neural::Fc_Layer:

Collaboration diagram for Neural::Fc_Layer:

Public Member Functions
	Fc_Layer (int i, int j)
	Fc_Layer (Eigen::MatrixXd weights, Eigen::MatrixXd bias)
virtual Eigen::MatrixXd	Forward_propagation (Eigen::MatrixXd input)
virtual Eigen::MatrixXd	Backward_propagation (Eigen::MatrixXd output_error, float learning_rate)
virtual Json::Value	toJSON ()
Eigen::MatrixXd	GetWeights ()
Eigen::MatrixXd	GetBias ()
void	SetWeights (Eigen::MatrixXd weights)
void	SetBias (Eigen::MatrixXd weights)
Public Member Functions inherited from Neural::Layer
bool	AsWeights ()

Protected Attributes
Eigen::MatrixXd	m_weights
Eigen::MatrixXd	m_bias
Protected Attributes inherited from Neural::Layer
Eigen::MatrixXd	m_input
Eigen::MatrixXd	m_output
bool	m_as_weight

Constructor & Destructor Documentation

Fc_Layer() [1/2]

Fc_Layer::Fc_Layer	(	int	input_size,
		int	output_size
	)

Constructor of the Full connected Layer, Generate Weight & Bias random Matrix

Parameters

input_size	size of rows
output_size	size of cols

Fc_Layer() [2/2]

Neural::Fc_Layer::Fc_Layer	(	Eigen::MatrixXd	weights,
		Eigen::MatrixXd	bias
	)

Member Function Documentation

Backward_propagation()

MatrixXd Fc_Layer::Backward_propagation ( Eigen::MatrixXd  output_error, float  learning_rate  )

virtual

Performs retro propagation on current layer

Parameters

output_error	The inputs of the Layer = The outputs of the previous Layer, or The data of the first Layer
learning_rate	The step size at each iteration

Returns

Matrix of input Layer error /!\ -> Matrix stored row or col

Implements Neural::Layer.

Forward_propagation()

MatrixXd Fc_Layer::Forward_propagation ( Eigen::MatrixXd  input )

virtual

Performs forward propagation on the current layer

Parameters

input_data

The inputs of the Layer = The outputs of the previous Layer, or The data of the first Layer

Returns

Output Matrix of forward propagation results

Implements Neural::Layer.

GetBias()

MatrixXd Fc_Layer::GetBias

(

)

GetWeights()

MatrixXd Fc_Layer::GetWeights

(

)

SetBias()

void Fc_Layer::SetBias

(

Eigen::MatrixXd

weights

)

SetWeights()

void Fc_Layer::SetWeights

(

Eigen::MatrixXd

weights

)

toJSON()

Json::Value Fc_Layer::toJSON ( )

virtual

Implements Neural::Layer.

Member Data Documentation

m_bias

Eigen::MatrixXd Neural::Fc_Layer::m_bias

protected

m_weights

Eigen::MatrixXd Neural::Fc_Layer::m_weights

protected

---

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

• neural/includes/layers/fc_layer.h
• neural/src/layers/fc_layer.cpp