otb::AutoencoderModel< TInputValue, NeuronType > Class Template Reference

#include <otbAutoencoderModel.h>

Inheritance diagram for otb::AutoencoderModel< TInputValue, NeuronType >:

Collaboration diagram for otb::AutoencoderModel< TInputValue, NeuronType >:

Public Types
typedef Superclass::ConfidenceListSampleType	ConfidenceListSampleType
typedef Superclass::ConfidenceSampleType	ConfidenceSampleType
typedef Superclass::ConfidenceValueType	ConfidenceValueType
typedef itk::SmartPointer< const Self >	ConstPointer
typedef Superclass::InputListSampleType	InputListSampleType
typedef Superclass::InputSampleType	InputSampleType
typedef Superclass::InputValueType	InputValueType
typedef shark::LinearModel< shark::RealVector, NeuronType >	LayerType
typedef InputListSampleType::Pointer	ListSamplePointerType
typedef shark::ConcatenatedModel< shark::RealVector >	ModelType
typedef shark::LinearModel< shark::RealVector, shark::LinearNeuron >	OutLayerType
typedef itk::SmartPointer< Self >	Pointer
typedef Superclass::ProbaListSampleType	ProbaListSampleType
typedef Superclass::ProbaSampleType	ProbaSampleType
typedef AutoencoderModel	Self
typedef MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >	Superclass
typedef Superclass::TargetListSampleType	TargetListSampleType
typedef Superclass::TargetSampleType	TargetSampleType
typedef Superclass::TargetValueType	TargetValueType
Public Types inherited from otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >
typedef MachineLearningModel	Self
typedef itk::Object	Superclass
typedef itk::SmartPointer< Self >	Pointer
typedef itk::SmartPointer< const Self >	ConstPointer
typedef MLMSampleTraits< itk::VariableLengthVector< TInputValue > >::ValueType	InputValueType
typedef MLMSampleTraits< itk::VariableLengthVector< TInputValue > >::SampleType	InputSampleType
typedef itk::Statistics::ListSample< InputSampleType >	InputListSampleType
typedef MLMTargetTraits< itk::VariableLengthVector< TInputValue > >::ValueType	TargetValueType
typedef MLMTargetTraits< itk::VariableLengthVector< TInputValue > >::SampleType	TargetSampleType
typedef itk::Statistics::ListSample< TargetSampleType >	TargetListSampleType
typedef MLMTargetTraits< double >::ValueType	ConfidenceValueType
typedef MLMTargetTraits< double >::SampleType	ConfidenceSampleType
typedef itk::Statistics::ListSample< ConfidenceSampleType >	ConfidenceListSampleType
typedef itk::VariableLengthVector< double >	ProbaSampleType
typedef itk::Statistics::ListSample< ProbaSampleType >	ProbaListSampleType

Public Member Functions
bool	CanReadFile (const std::string &filename) override
bool	CanWriteFile (const std::string &filename) override
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual itk::Array< double >	GetBeta ()
virtual double	GetEpsilon ()
virtual double	GetInitFactor ()
virtual std::string	GetLearningCurveFileName ()
virtual const char *	GetNameOfClass () const
virtual itk::Array< double >	GetNoise ()
virtual itk::Array< unsigned int >	GetNumberOfHiddenNeurons ()
virtual unsigned int	GetNumberOfIterations ()
virtual unsigned int	GetNumberOfIterationsFineTuning ()
virtual itk::Array< double >	GetRegularization ()
virtual itk::Array< double >	GetRho ()
virtual bool	GetWriteLearningCurve ()
virtual bool	GetWriteWeights ()
void	Load (const std::string &filename, const std::string &name="") override
void	Save (const std::string &filename, const std::string &name="") override
virtual void	SetBeta (itk::Array< double > _arg)
virtual void	SetEpsilon (double _arg)
virtual void	SetInitFactor (double _arg)
virtual void	SetLearningCurveFileName (std::string _arg)
virtual void	SetNoise (itk::Array< double > _arg)
virtual void	SetNumberOfHiddenNeurons (itk::Array< unsigned int > _arg)
virtual void	SetNumberOfIterations (unsigned int _arg)
virtual void	SetNumberOfIterationsFineTuning (unsigned int _arg)
virtual void	SetRegularization (itk::Array< double > _arg)
virtual void	SetRho (itk::Array< double > _arg)
virtual void	SetWriteLearningCurve (bool _arg)
virtual void	SetWriteWeights (bool _arg)
void	Train () override
template<class T >
void	TrainNetwork (shark::AbstractStoppingCriterion< T > &criterion, shark::Data< shark::RealVector > &, std::ostream &)
template<class T >
void	TrainOneLayer (shark::AbstractStoppingCriterion< T > &criterion, unsigned int, shark::Data< shark::RealVector > &, std::ostream &)
template<class T >
void	TrainOneSparseLayer (shark::AbstractStoppingCriterion< T > &criterion, unsigned int, shark::Data< shark::RealVector > &, std::ostream &)
Public Member Functions inherited from otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >
virtual const char *	GetNameOfClass () const
TargetSampleType	Predict (const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const
virtual void	SetDimension (unsigned int _arg)
virtual unsigned int	GetDimension ()
TargetListSampleType::Pointer	PredictBatch (const InputListSampleType *input, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const
bool	HasConfidenceIndex () const
bool	HasProbaIndex () const
virtual void	SetInputListSample (InputListSampleType *_arg)
	itkGetObjectMacro (InputListSample, InputListSampleType)
virtual const InputListSampleType *	GetInputListSample () const
	itkGetObjectMacro (TargetListSample, TargetListSampleType)
	itkGetObjectMacro (ConfidenceListSample, ConfidenceListSampleType)
virtual void	SetTargetListSample (TargetListSampleType *_arg)
virtual bool	GetRegressionMode ()
void	SetRegressionMode (bool flag)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	AutoencoderModel ()
virtual TargetSampleType	DoPredict (const InputSampleType &input, ConfidenceValueType *quality=nullptr, ProbaSampleType *proba=nullptr) const override
virtual void	DoPredictBatch (const InputListSampleType *, const unsigned int &startIndex, const unsigned int &size, TargetListSampleType *, ConfidenceListSampleType *quality=nullptr, ProbaListSampleType *proba=nullptr) const override
	~AutoencoderModel () override
Protected Member Functions inherited from otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >
	MachineLearningModel ()
	~MachineLearningModel () override=default
void	PrintSelf (std::ostream &os, itk::Indent indent) const override

Private Attributes
ModelType	m_Encoder
std::vector< LayerType >	m_InLayers
itk::Array< unsigned int >	m_NumberOfHiddenNeurons
OutLayerType	m_OutLayer
unsigned int	m_NumberOfIterations
unsigned int	m_NumberOfIterationsFineTuning
double	m_Epsilon
itk::Array< double >	m_Regularization
itk::Array< double >	m_Noise
itk::Array< double >	m_Rho
itk::Array< double >	m_Beta
double	m_InitFactor
bool	m_WriteLearningCurve
std::string	m_LearningCurveFileName
bool	m_WriteWeights

Additional Inherited Members
Protected Attributes inherited from otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >
InputListSampleType::Pointer	m_InputListSample
InputListSampleType::Pointer	m_ValidationListSample
TargetListSampleType::Pointer	m_TargetListSample
ConfidenceListSampleType::Pointer	m_ConfidenceListSample
bool	m_RegressionMode
bool	m_IsRegressionSupported
bool	m_ConfidenceIndex
bool	m_ProbaIndex
bool	m_IsDoPredictBatchMultiThreaded
unsigned int	m_Dimension

Detailed Description

template<class TInputValue, class NeuronType>
class otb::AutoencoderModel< TInputValue, NeuronType >

Autoencoder model wrapper class

Definition at line 78 of file otbAutoencoderModel.h.

Member Typedef Documentation

ConfidenceListSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::ConfidenceListSampleType otb::AutoencoderModel< TInputValue, NeuronType >::ConfidenceListSampleType

Definition at line 97 of file otbAutoencoderModel.h.

ConfidenceSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::ConfidenceSampleType otb::AutoencoderModel< TInputValue, NeuronType >::ConfidenceSampleType

Definition at line 96 of file otbAutoencoderModel.h.

ConfidenceValueType

template<class TInputValue , class NeuronType >

typedef Superclass::ConfidenceValueType otb::AutoencoderModel< TInputValue, NeuronType >::ConfidenceValueType

Confidence map related typedefs.

Definition at line 95 of file otbAutoencoderModel.h.

ConstPointer

template<class TInputValue , class NeuronType >

typedef itk::SmartPointer<const Self> otb::AutoencoderModel< TInputValue, NeuronType >::ConstPointer

Definition at line 84 of file otbAutoencoderModel.h.

InputListSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::InputListSampleType otb::AutoencoderModel< TInputValue, NeuronType >::InputListSampleType

Definition at line 88 of file otbAutoencoderModel.h.

InputSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::InputSampleType otb::AutoencoderModel< TInputValue, NeuronType >::InputSampleType

Definition at line 87 of file otbAutoencoderModel.h.

InputValueType

template<class TInputValue , class NeuronType >

typedef Superclass::InputValueType otb::AutoencoderModel< TInputValue, NeuronType >::InputValueType

Definition at line 86 of file otbAutoencoderModel.h.

LayerType

template<class TInputValue , class NeuronType >

typedef shark::LinearModel<shark::RealVector, NeuronType> otb::AutoencoderModel< TInputValue, NeuronType >::LayerType

Definition at line 103 of file otbAutoencoderModel.h.

ListSamplePointerType

template<class TInputValue , class NeuronType >

typedef InputListSampleType::Pointer otb::AutoencoderModel< TInputValue, NeuronType >::ListSamplePointerType

Definition at line 89 of file otbAutoencoderModel.h.

ModelType

template<class TInputValue , class NeuronType >

typedef shark::ConcatenatedModel<shark::RealVector> otb::AutoencoderModel< TInputValue, NeuronType >::ModelType

Neural network related typedefs.

Definition at line 102 of file otbAutoencoderModel.h.

OutLayerType

template<class TInputValue , class NeuronType >

typedef shark::LinearModel<shark::RealVector, shark::LinearNeuron> otb::AutoencoderModel< TInputValue, NeuronType >::OutLayerType

Definition at line 104 of file otbAutoencoderModel.h.

Pointer

template<class TInputValue , class NeuronType >

typedef itk::SmartPointer<Self> otb::AutoencoderModel< TInputValue, NeuronType >::Pointer

Definition at line 83 of file otbAutoencoderModel.h.

ProbaListSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::ProbaListSampleType otb::AutoencoderModel< TInputValue, NeuronType >::ProbaListSampleType

Definition at line 100 of file otbAutoencoderModel.h.

ProbaSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::ProbaSampleType otb::AutoencoderModel< TInputValue, NeuronType >::ProbaSampleType

Definition at line 99 of file otbAutoencoderModel.h.

Self

template<class TInputValue , class NeuronType >

typedef AutoencoderModel otb::AutoencoderModel< TInputValue, NeuronType >::Self

Definition at line 81 of file otbAutoencoderModel.h.

Superclass

template<class TInputValue , class NeuronType >

typedef MachineLearningModel<itk::VariableLengthVector<TInputValue>, itk::VariableLengthVector<TInputValue> > otb::AutoencoderModel< TInputValue, NeuronType >::Superclass

Definition at line 82 of file otbAutoencoderModel.h.

TargetListSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::TargetListSampleType otb::AutoencoderModel< TInputValue, NeuronType >::TargetListSampleType

Definition at line 92 of file otbAutoencoderModel.h.

TargetSampleType

template<class TInputValue , class NeuronType >

typedef Superclass::TargetSampleType otb::AutoencoderModel< TInputValue, NeuronType >::TargetSampleType

Definition at line 91 of file otbAutoencoderModel.h.

TargetValueType

template<class TInputValue , class NeuronType >

typedef Superclass::TargetValueType otb::AutoencoderModel< TInputValue, NeuronType >::TargetValueType

Definition at line 90 of file otbAutoencoderModel.h.

Constructor & Destructor Documentation

AutoencoderModel()

template<class TInputValue , class NeuronType >

otb::AutoencoderModel< TInputValue, NeuronType >::AutoencoderModel

protected

Definition at line 61 of file otbAutoencoderModel.hxx.

~AutoencoderModel()

template<class TInputValue , class NeuronType >

otb::AutoencoderModel< TInputValue, NeuronType >::~AutoencoderModel

overrideprotected

Definition at line 68 of file otbAutoencoderModel.hxx.

Member Function Documentation

CanReadFile()

template<class TInputValue , class NeuronType >

bool otb::AutoencoderModel< TInputValue, NeuronType >::CanReadFile ( const std::string &  )

overridevirtual

Is the input model file readable and compatible with the corresponding classifier ?

Implements otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >.

Definition at line 281 of file otbAutoencoderModel.hxx.

CanWriteFile()

template<class TInputValue , class NeuronType >

bool otb::AutoencoderModel< TInputValue, NeuronType >::CanWriteFile ( const std::string &  )

overridevirtual

Is the input model file writable and compatible with the corresponding classifier ?

Implements otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >.

Definition at line 295 of file otbAutoencoderModel.hxx.

CreateAnother()

template<class TInputValue , class NeuronType >

virtual::itk::LightObject::Pointer otb::AutoencoderModel< TInputValue, NeuronType >::CreateAnother

(

void

)

const

DoPredict()

template<class TInputValue , class NeuronType >

AutoencoderModel< TInputValue, NeuronType >::TargetSampleType otb::AutoencoderModel< TInputValue, NeuronType >::DoPredict ( const InputSampleType &  input, ConfidenceValueType *  quality = nullptr, ProbaSampleType *  proba = nullptr  ) const

overrideprotectedvirtual

Definition at line 357 of file otbAutoencoderModel.hxx.

DoPredictBatch()

template<class TInputValue , class NeuronType >

void otb::AutoencoderModel< TInputValue, NeuronType >::DoPredictBatch ( const InputListSampleType *  input, const unsigned int &  startIndex, const unsigned int &  size, TargetListSampleType *  targets, ConfidenceListSampleType *  quality = nullptr, ProbaListSampleType *  proba = nullptr  ) const

overrideprotectedvirtual

Definition at line 383 of file otbAutoencoderModel.hxx.

GetBeta()

template<class TInputValue , class NeuronType >

virtual itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::GetBeta ( )

virtual

GetEpsilon()

template<class TInputValue , class NeuronType >

virtual double otb::AutoencoderModel< TInputValue, NeuronType >::GetEpsilon ( )

virtual

GetInitFactor()

template<class TInputValue , class NeuronType >

virtual double otb::AutoencoderModel< TInputValue, NeuronType >::GetInitFactor ( )

virtual

GetLearningCurveFileName()

template<class TInputValue , class NeuronType >

virtual std::string otb::AutoencoderModel< TInputValue, NeuronType >::GetLearningCurveFileName ( )

virtual

GetNameOfClass()

template<class TInputValue , class NeuronType >

virtual const char* otb::AutoencoderModel< TInputValue, NeuronType >::GetNameOfClass ( ) const

virtual

GetNoise()

template<class TInputValue , class NeuronType >

virtual itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::GetNoise ( )

virtual

GetNumberOfHiddenNeurons()

template<class TInputValue , class NeuronType >

virtual itk::Array<unsigned int> otb::AutoencoderModel< TInputValue, NeuronType >::GetNumberOfHiddenNeurons ( )

virtual

GetNumberOfIterations()

template<class TInputValue , class NeuronType >

virtual unsigned int otb::AutoencoderModel< TInputValue, NeuronType >::GetNumberOfIterations ( )

virtual

GetNumberOfIterationsFineTuning()

template<class TInputValue , class NeuronType >

virtual unsigned int otb::AutoencoderModel< TInputValue, NeuronType >::GetNumberOfIterationsFineTuning ( )

virtual

GetRegularization()

template<class TInputValue , class NeuronType >

virtual itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::GetRegularization ( )

virtual

GetRho()

template<class TInputValue , class NeuronType >

virtual itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::GetRho ( )

virtual

GetWriteLearningCurve()

template<class TInputValue , class NeuronType >

virtual bool otb::AutoencoderModel< TInputValue, NeuronType >::GetWriteLearningCurve ( )

virtual

GetWriteWeights()

template<class TInputValue , class NeuronType >

virtual bool otb::AutoencoderModel< TInputValue, NeuronType >::GetWriteWeights ( )

virtual

Load()

template<class TInputValue , class NeuronType >

void otb::AutoencoderModel< TInputValue, NeuronType >::Load ( const std::string &  filename, const std::string &  name = ""  )

overridevirtual

Load the model from file

Implements otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >.

Definition at line 317 of file otbAutoencoderModel.hxx.

New()

template<class TInputValue , class NeuronType >

static Pointer otb::AutoencoderModel< TInputValue, NeuronType >::New ( )

static

Save()

template<class TInputValue , class NeuronType >

void otb::AutoencoderModel< TInputValue, NeuronType >::Save ( const std::string &  filename, const std::string &  name = ""  )

overridevirtual

Save the model to file

Implements otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >.

Definition at line 301 of file otbAutoencoderModel.hxx.

References otbMsgDevMacro.

SetBeta()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetBeta ( itk::Array< double >  _arg )

virtual

SetEpsilon()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetEpsilon ( double  _arg )

virtual

SetInitFactor()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetInitFactor ( double  _arg )

virtual

SetLearningCurveFileName()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetLearningCurveFileName ( std::string  _arg )

virtual

SetNoise()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetNoise ( itk::Array< double >  _arg )

virtual

SetNumberOfHiddenNeurons()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetNumberOfHiddenNeurons ( itk::Array< unsigned int >  _arg )

virtual

SetNumberOfIterations()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetNumberOfIterations ( unsigned int  _arg )

virtual

SetNumberOfIterationsFineTuning()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetNumberOfIterationsFineTuning ( unsigned int  _arg )

virtual

SetRegularization()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetRegularization ( itk::Array< double >  _arg )

virtual

SetRho()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetRho ( itk::Array< double >  _arg )

virtual

SetWriteLearningCurve()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetWriteLearningCurve ( bool  _arg )

virtual

SetWriteWeights()

template<class TInputValue , class NeuronType >

virtual void otb::AutoencoderModel< TInputValue, NeuronType >::SetWriteWeights ( bool  _arg )

virtual

Train()

template<class TInputValue , class NeuronType >

void otb::AutoencoderModel< TInputValue, NeuronType >::Train

overridevirtual

Train the machine learning model

Implements otb::MachineLearningModel< itk::VariableLengthVector< TInputValue >, itk::VariableLengthVector< TInputValue > >.

Definition at line 73 of file otbAutoencoderModel.hxx.

References otbMsgDevMacro.

TrainNetwork()

template<class TInputValue , class NeuronType >

template<class T >

void otb::AutoencoderModel< TInputValue, NeuronType >::TrainNetwork	(	shark::AbstractStoppingCriterion< T > &	criterion,
		shark::Data< shark::RealVector > &	samples,
		std::ostream &	File
	)

Definition at line 244 of file otbAutoencoderModel.hxx.

References otbMsgDevMacro.

TrainOneLayer()

template<class TInputValue , class NeuronType >

template<class T >

void otb::AutoencoderModel< TInputValue, NeuronType >::TrainOneLayer	(	shark::AbstractStoppingCriterion< T > &	criterion,
		unsigned int	layer_index,
		shark::Data< shark::RealVector > &	samples,
		std::ostream &	File
	)

Definition at line 149 of file otbAutoencoderModel.hxx.

References otbMsgDevMacro.

TrainOneSparseLayer()

template<class TInputValue , class NeuronType >

template<class T >

void otb::AutoencoderModel< TInputValue, NeuronType >::TrainOneSparseLayer	(	shark::AbstractStoppingCriterion< T > &	criterion,
		unsigned int	layer_index,
		shark::Data< shark::RealVector > &	samples,
		std::ostream &	File
	)

Definition at line 198 of file otbAutoencoderModel.hxx.

References otbMsgDevMacro.

Member Data Documentation

m_Beta

template<class TInputValue , class NeuronType >

itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::m_Beta

private

Training parameters

Definition at line 185 of file otbAutoencoderModel.h.

m_Encoder

template<class TInputValue , class NeuronType >

ModelType otb::AutoencoderModel< TInputValue, NeuronType >::m_Encoder

private

Internal Network

Definition at line 173 of file otbAutoencoderModel.h.

m_Epsilon

template<class TInputValue , class NeuronType >

double otb::AutoencoderModel< TInputValue, NeuronType >::m_Epsilon

private

Training parameters

Definition at line 181 of file otbAutoencoderModel.h.

m_InitFactor

template<class TInputValue , class NeuronType >

double otb::AutoencoderModel< TInputValue, NeuronType >::m_InitFactor

private

Training parameters

Definition at line 186 of file otbAutoencoderModel.h.

m_InLayers

template<class TInputValue , class NeuronType >

std::vector<LayerType> otb::AutoencoderModel< TInputValue, NeuronType >::m_InLayers

private

Definition at line 174 of file otbAutoencoderModel.h.

m_LearningCurveFileName

template<class TInputValue , class NeuronType >

std::string otb::AutoencoderModel< TInputValue, NeuronType >::m_LearningCurveFileName

private

Training parameters

Definition at line 190 of file otbAutoencoderModel.h.

m_Noise

template<class TInputValue , class NeuronType >

itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::m_Noise

private

Training parameters

Definition at line 183 of file otbAutoencoderModel.h.

m_NumberOfHiddenNeurons

template<class TInputValue , class NeuronType >

itk::Array<unsigned int> otb::AutoencoderModel< TInputValue, NeuronType >::m_NumberOfHiddenNeurons

private

Definition at line 176 of file otbAutoencoderModel.h.

m_NumberOfIterations

template<class TInputValue , class NeuronType >

unsigned int otb::AutoencoderModel< TInputValue, NeuronType >::m_NumberOfIterations

private

Training parameters

Definition at line 179 of file otbAutoencoderModel.h.

m_NumberOfIterationsFineTuning

template<class TInputValue , class NeuronType >

unsigned int otb::AutoencoderModel< TInputValue, NeuronType >::m_NumberOfIterationsFineTuning

private

Training parameters

Definition at line 180 of file otbAutoencoderModel.h.

m_OutLayer

template<class TInputValue , class NeuronType >

OutLayerType otb::AutoencoderModel< TInputValue, NeuronType >::m_OutLayer

private

Definition at line 175 of file otbAutoencoderModel.h.

m_Regularization

template<class TInputValue , class NeuronType >

itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::m_Regularization

private

Training parameters

Definition at line 182 of file otbAutoencoderModel.h.

m_Rho

template<class TInputValue , class NeuronType >

itk::Array<double> otb::AutoencoderModel< TInputValue, NeuronType >::m_Rho

private

Training parameters

Definition at line 184 of file otbAutoencoderModel.h.

m_WriteLearningCurve

template<class TInputValue , class NeuronType >

bool otb::AutoencoderModel< TInputValue, NeuronType >::m_WriteLearningCurve

private

Training parameters

Definition at line 189 of file otbAutoencoderModel.h.

m_WriteWeights

template<class TInputValue , class NeuronType >

bool otb::AutoencoderModel< TInputValue, NeuronType >::m_WriteWeights

private

Training parameters

Definition at line 191 of file otbAutoencoderModel.h.

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

• otbAutoencoderModel.h
• otbAutoencoderModel.hxx