TMVA::DNN::Layer Class Reference

Layer defines the layout of a layer.

Layer defines the layout of a specific layer in the DNN Objects of this class don't hold the layer data itself (see class "LayerData")

Definition at line 672 of file NeuralNet.h.

Public Member Functions
	Layer (size_t numNodes, EnumFunction activationFunction, ModeOutputValues eModeOutputValues=ModeOutputValues::DIRECT)
	c'tor for defining a Layer
std::shared_ptr< std::function< double(double)> >	activationFunction () const
	fetch the activation function for this layer
EnumFunction	activationFunctionType () const
	get the activation function type for this layer
std::shared_ptr< std::function< double(double)> >	inverseActivationFunction () const
	fetch the inverse activation function for this layer
ModeOutputValues	modeOutputValues () const
	get the mode-output-value (direct, probabilities)
void	modeOutputValues (ModeOutputValues eModeOutputValues)
	set the mode-output-value
size_t	numNodes () const
	return the number of nodes of this layer
size_t	numWeights (size_t numInputNodes) const
	return the number of weights for this layer (fully connected)

Private Attributes
std::shared_ptr< std::function< double(double)> >	m_activationFunction
	stores the activation function
EnumFunction	m_activationFunctionType
ModeOutputValues	m_eModeOutputValues
	do the output values of this layer have to be transformed somehow (e.g. to probabilities) or returned as such
std::shared_ptr< std::function< double(double)> >	m_inverseActivationFunction
	stores the inverse activation function
size_t	m_numNodes

Friends
class	Net

#include <TMVA/NeuralNet.h>

Constructor & Destructor Documentation

Layer()

TMVA::DNN::Layer::Layer	(	size_t	numNodes,
		EnumFunction	activationFunction,
		ModeOutputValues	eModeOutputValues = ModeOutputValues::DIRECT
	)

c'tor for defining a Layer

Definition at line 166 of file NeuralNet.cxx.

Member Function Documentation

activationFunction()

std::shared_ptr< std::function< double(double)> > TMVA::DNN::Layer::activationFunction ( ) const

inline

fetch the activation function for this layer

Definition at line 688 of file NeuralNet.h.

activationFunctionType()

EnumFunction TMVA::DNN::Layer::activationFunctionType ( ) const

inline

get the activation function type for this layer

Definition at line 691 of file NeuralNet.h.

inverseActivationFunction()

std::shared_ptr< std::function< double(double)> > TMVA::DNN::Layer::inverseActivationFunction ( ) const

inline

fetch the inverse activation function for this layer

Definition at line 689 of file NeuralNet.h.

modeOutputValues() [1/2]

ModeOutputValues TMVA::DNN::Layer::modeOutputValues ( ) const

inline

get the mode-output-value (direct, probabilities)

Definition at line 682 of file NeuralNet.h.

modeOutputValues() [2/2]

void TMVA::DNN::Layer::modeOutputValues ( ModeOutputValues  eModeOutputValues )

inline

set the mode-output-value

Definition at line 683 of file NeuralNet.h.

numNodes()

size_t TMVA::DNN::Layer::numNodes ( ) const

inline

return the number of nodes of this layer

Definition at line 685 of file NeuralNet.h.

numWeights()

size_t TMVA::DNN::Layer::numWeights ( size_t  numInputNodes ) const

inline

return the number of weights for this layer (fully connected)

Definition at line 686 of file NeuralNet.h.

Friends And Related Symbol Documentation

Net

friend class Net

friend

Definition at line 705 of file NeuralNet.h.

Member Data Documentation

m_activationFunction

std::shared_ptr<std::function<double(double)> > TMVA::DNN::Layer::m_activationFunction

private

stores the activation function

Definition at line 696 of file NeuralNet.h.

m_activationFunctionType

EnumFunction TMVA::DNN::Layer::m_activationFunctionType

private

Definition at line 703 of file NeuralNet.h.

m_eModeOutputValues

ModeOutputValues TMVA::DNN::Layer::m_eModeOutputValues

private

do the output values of this layer have to be transformed somehow (e.g. to probabilities) or returned as such

Definition at line 702 of file NeuralNet.h.

m_inverseActivationFunction

std::shared_ptr<std::function<double(double)> > TMVA::DNN::Layer::m_inverseActivationFunction

private

stores the inverse activation function

Definition at line 697 of file NeuralNet.h.

m_numNodes

size_t TMVA::DNN::Layer::m_numNodes

private

Definition at line 700 of file NeuralNet.h.

Libraries for TMVA::DNN::Layer:

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

• tmva/tmva/inc/TMVA/NeuralNet.h
• tmva/tmva/src/NeuralNet.cxx