NeuralNet::Flatten Class Reference

Inheritance diagram for NeuralNet::Flatten:

Public Member Functions
	Flatten (std::tuple< int, int > inputShape)
	Construct a new Flatten object.
std::string	getSlug () const override
	Flatten layer's slug.
Eigen::MatrixXd	flatten (std::vector< std::vector< std::vector< double > > > inputs)
	This method flattens a 3D vector into a 2D Eigen::MatrixXd.
void	feedInputs (std::vector< std::vector< std::vector< double > > > inputs, bool training) override
	This method is used to feed the inputs to the layer.
Eigen::MatrixXd	feedInputs (Eigen::MatrixXd inputs, bool training) override
	This method is used to feed the inputs to the layer.
Public Member Functions inherited from NeuralNet::Layer
Eigen::MatrixXd	getOutputs () const
	This method get the layer's outputs.
int	getNumNeurons () const
	This method get the number of neurons actually in the layer.
void	printOutputs ()
	Method to print layer's outputs.
virtual Eigen::MatrixXd	feedInputs (std::vector< double > inputs, bool training=false)
	This method is used to feed the inputs to the layer.
const std::string	typeStr ()

Friends
class	cereal::access

Additional Inherited Members
Protected Member Functions inherited from NeuralNet::Layer
void	setOutputs (Eigen::MatrixXd outputs)
void	setOutputs (std::vector< double > outputs)
	This method is used to set the outputs of the layer.
virtual void	init (int args)
	Layer (std::tuple< int, int > inputShape)
Protected Attributes inherited from NeuralNet::Layer
int	nNeurons
Eigen::MatrixXd	outputs
LayerType	type = LayerType::DEFAULT
bool	trainingOnly = false

Constructor & Destructor Documentation

Flatten()

NeuralNet::Flatten::Flatten ( std::tuple< int, int > inputShape )

inline

Construct a new Flatten object.

This type of Layer is perfect as an input layer since its sole purpose is to flatten a given input

Parameters

inputShape

The shape of the input to be flattened

Member Function Documentation

feedInputs() [1/2]

Eigen::MatrixXd NeuralNet::Flatten::feedInputs ( Eigen::MatrixXd inputs, bool training )

inlineoverridevirtual

This method is used to feed the inputs to the layer.

Parameters

inputs

An Eigen::MatrixXd representing the inputs (features)

Returns

an Eigen::MatrixXd representing the outputs of the layer

Implements NeuralNet::Layer.

feedInputs() [2/2]

void NeuralNet::Flatten::feedInputs ( std::vector< std::vector< std::vector< double > > > inputs, bool training )

inlineoverridevirtual

This method is used to feed the inputs to the layer.

Parameters

inputs

A vector of vectors of doubles representing the inputs (features)

Returns

void

Reimplemented from NeuralNet::Layer.

flatten()

Eigen::MatrixXd NeuralNet::Flatten::flatten ( std::vector< std::vector< std::vector< double > > > inputs )

inline

This method flattens a 3D vector into a 2D Eigen::MatrixXd.

Parameters

inputs

The 3D vector to be flattened

Returns

Eigen::MatrixXd The flattened 2D Eigen::MatrixXd

getSlug()

std::string NeuralNet::Flatten::getSlug ( ) const

inlineoverridevirtual

Flatten layer's slug.

Implements NeuralNet::Layer.

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

• /github/workspace/src/NeuralNet/layers/Flatten.hpp