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 676 of file NeuralNet.h.

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

Private Attributes
std::shared_ptr< std::function< double(double)> >	m_activationFunction
	stores the activation function More...
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 More...
std::shared_ptr< std::function< double(double)> >	m_inverseActivationFunction
	stores the inverse activation function More...
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

Parameters

itInputBegin	indicates the start of the input node vector
itInputEnd	indicates the end of the input node vector

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 695 of file NeuralNet.h.

activationFunctionType()

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

inline

get the activation function type for this layer

Definition at line 698 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 696 of file NeuralNet.h.

modeOutputValues() [1/2]

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

inline

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

Definition at line 689 of file NeuralNet.h.

modeOutputValues() [2/2]

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

inline

set the mode-output-value

Definition at line 690 of file NeuralNet.h.

numNodes()

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

inline

return the number of nodes of this layer

Definition at line 692 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 693 of file NeuralNet.h.

Friends And Related Function Documentation

Net

friend class Net

friend

Definition at line 712 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 703 of file NeuralNet.h.

m_activationFunctionType

EnumFunction TMVA::DNN::Layer::m_activationFunctionType

private

Definition at line 710 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 709 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 704 of file NeuralNet.h.

m_numNodes

size_t TMVA::DNN::Layer::m_numNodes

private

Definition at line 707 of file NeuralNet.h.

Libraries for TMVA::DNN::Layer:

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