Neural::Flatten_Layer Class Reference

#include <flatten_layer.h>

Inheritance diagram for Neural::Flatten_Layer:

Collaboration diagram for Neural::Flatten_Layer:

Public Member Functions
	Flatten_Layer ()
virtual Eigen::MatrixXd	Forward_propagation (Eigen::MatrixXd input)
virtual Eigen::MatrixXd	Backward_propagation (Eigen::MatrixXd output_error, float learning_rate)
virtual Json::Value	toJSON ()
Public Member Functions inherited from Neural::Layer
bool	AsWeights ()

Additional Inherited Members
Protected Attributes inherited from Neural::Layer
Eigen::MatrixXd	m_input
Eigen::MatrixXd	m_output
bool	m_as_weight

Constructor & Destructor Documentation

Flatten_Layer()

Flatten_Layer::Flatten_Layer

(

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Member Function Documentation

Backward_propagation()

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

virtual

Performs retro propagation on the activation 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 derived activation function

Implements Neural::Layer.

Forward_propagation()

MatrixXd Flatten_Layer::Forward_propagation ( Eigen::MatrixXd  input )

virtual

Implements Neural::Layer.

toJSON()

Json::Value Flatten_Layer::toJSON ( )

virtual

Implements Neural::Layer.

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

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