NeuralNet::Dense Class Reference

Inheritance diagram for NeuralNet::Dense:

Public Member Functions
	Dense (int nNeurons, ACTIVATION activation=ACTIVATION::SIGMOID, WEIGHT_INIT weightInit=WEIGHT_INIT::RANDOM, int bias=0)
Eigen::MatrixXd	getWeights () const
	This method gets the layer's weights.
Eigen::MatrixXd	getBiases () const
	Return the biases of the layer.
Eigen::MatrixXd	getOutputs () const
	This method get the layer's outputs.
void	printWeights ()
	Method to print layer's weights.
std::string	getSlug () const override
	Dense layer slug.
virtual Eigen::MatrixXd	feedInputs (Eigen::MatrixXd inputs, bool training=false) 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.
virtual void	feedInputs (std::vector< std::vector< 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
class	Network

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.
	Layer (std::tuple< int, int > inputShape)
Protected Attributes inherited from NeuralNet::Layer
int	nNeurons
Eigen::MatrixXd	outputs
LayerType	type = LayerType::DEFAULT
bool	trainingOnly = false

Member Function Documentation

feedInputs()

virtual Eigen::MatrixXd NeuralNet::Dense::feedInputs ( Eigen::MatrixXd inputs, bool training = false )

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.

getBiases()

Eigen::MatrixXd NeuralNet::Dense::getBiases ( ) const

inline

Return the biases of the layer.

Returns

an Eigen::Matrix representing the biases

getOutputs()

Eigen::MatrixXd NeuralNet::Dense::getOutputs ( ) const

inline

This method get the layer's outputs.

Returns

an Eigen::Eigen::MatrixXd representing the layer's outputs

getSlug()

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

inlineoverridevirtual

Dense layer slug.

Implements NeuralNet::Layer.

getWeights()

Eigen::MatrixXd NeuralNet::Dense::getWeights ( ) const

inline

This method gets the layer's weights.

Returns

an Eigen::MatrixXd representing the weights

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

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