Neural::Layer Class Reference

#include <layer.h>

Inheritance diagram for Neural::Layer:

Collaboration diagram for Neural::Layer:

Public Member Functions
virtual Eigen::MatrixXd	Forward_propagation (Eigen::MatrixXd input)=0
virtual Eigen::MatrixXd	Backward_propagation (Eigen::MatrixXd output_error, float learning_rate)=0
virtual Json::Value	toJSON ()=0
bool	AsWeights ()

Protected Attributes
Eigen::MatrixXd	m_input
Eigen::MatrixXd	m_output
bool	m_as_weight

Member Function Documentation

AsWeights()

bool Layer::AsWeights

(

)

Checks if the current layer has weights

Returns

A bool : true if AsWeights, False if not

Backward_propagation()

virtual Eigen::MatrixXd Neural::Layer::Backward_propagation ( Eigen::MatrixXd  output_error, float  learning_rate  )

pure virtual

Implemented in Neural::Conv_Layer, Neural::Activation_Layer, Neural::Fc_Layer, Neural::Flatten_Layer, and Neural::Pooling_layer.

Forward_propagation()

virtual Eigen::MatrixXd Neural::Layer::Forward_propagation ( Eigen::MatrixXd  input )

pure virtual

Implemented in Neural::Activation_Layer, Neural::Conv_Layer, Neural::Fc_Layer, Neural::Flatten_Layer, and Neural::Pooling_layer.

toJSON()

virtual Json::Value Neural::Layer::toJSON ( )

pure virtual

Implemented in Neural::Conv_Layer, Neural::Activation_Layer, Neural::Fc_Layer, Neural::Flatten_Layer, and Neural::Pooling_layer.

Member Data Documentation

m_as_weight

bool Neural::Layer::m_as_weight

protected

m_input

Eigen::MatrixXd Neural::Layer::m_input

protected

m_output

Eigen::MatrixXd Neural::Layer::m_output

protected

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

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