OpenNN
2.2
Open Neural Networks Library
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take_out() :
OpenNN::Vector< T >
TestingAnalysis() :
OpenNN::TestingAnalysis
to_column_matrix() :
OpenNN::Vector< T >
to_matrix() :
OpenNN::Vector< T >
to_row_matrix() :
OpenNN::Vector< T >
to_std_vector() :
OpenNN::Matrix< T >
,
OpenNN::Vector< T >
to_string() :
OpenNN::BoundingLayer
,
OpenNN::ConditionsLayer
,
OpenNN::ConjugateGradient::ConjugateGradientResults
,
OpenNN::DataSet
,
OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
,
OpenNN::GradientDescent::GradientDescentResults
,
OpenNN::IndependentParameters
,
OpenNN::Inputs
,
OpenNN::Instances
,
OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults
,
OpenNN::MathematicalModel
,
OpenNN::Matrix< T >
,
OpenNN::MissingValues
,
OpenNN::MultilayerPerceptron
,
OpenNN::NeuralNetwork
,
OpenNN::NewtonMethod::NewtonMethodResults
,
OpenNN::OrdinaryDifferentialEquations
,
OpenNN::Outputs
,
OpenNN::PerformanceFunctional
,
OpenNN::PerformanceTerm
,
OpenNN::PlugIn
,
OpenNN::ProbabilisticLayer
,
OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
,
OpenNN::QuasiNewtonMethod
,
OpenNN::RandomSearch::RandomSearchResults
,
OpenNN::ScalingLayer
,
OpenNN::TestingAnalysis
,
OpenNN::TrainingAlgorithm
,
OpenNN::TrainingAlgorithm::TrainingAlgorithmResults
,
OpenNN::TrainingRateAlgorithm::Triplet
,
OpenNN::TrainingStrategy
,
OpenNN::UnscalingLayer
,
OpenNN::Variables
,
OpenNN::Vector< T >
to_string_matrix() :
OpenNN::ConjugateGradient
,
OpenNN::EvolutionaryAlgorithm
,
OpenNN::GradientDescent
,
OpenNN::LevenbergMarquardtAlgorithm
,
OpenNN::NewtonMethod
,
OpenNN::QuasiNewtonMethod
,
OpenNN::RandomSearch
,
OpenNN::TrainingAlgorithm
to_text() :
OpenNN::Vector< T >
to_vector() :
OpenNN::Matrix< T >
,
OpenNN::Statistics< T >
to_XML() :
OpenNN::BoundingLayer
,
OpenNN::ConditionsLayer
,
OpenNN::ConjugateGradient
,
OpenNN::CrossEntropyError
,
OpenNN::DataSet
,
OpenNN::EvolutionaryAlgorithm
,
OpenNN::FinalSolutionsError
,
OpenNN::GradientDescent
,
OpenNN::IndependentParameters
,
OpenNN::IndependentParametersError
,
OpenNN::Inputs
,
OpenNN::Instances
,
OpenNN::InverseSumSquaredError
,
OpenNN::LevenbergMarquardtAlgorithm
,
OpenNN::MathematicalModel
,
OpenNN::MeanSquaredError
,
OpenNN::MinkowskiError
,
OpenNN::MissingValues
,
OpenNN::ModelSelection
,
OpenNN::MultilayerPerceptron
,
OpenNN::NeuralNetwork
,
OpenNN::NeuralParametersNorm
,
OpenNN::NewtonMethod
,
OpenNN::NormalizedSquaredError
,
OpenNN::NumericalDifferentiation
,
OpenNN::NumericalIntegration
,
OpenNN::OrdinaryDifferentialEquations
,
OpenNN::Outputs
,
OpenNN::OutputsIntegrals
,
OpenNN::PerformanceFunctional
,
OpenNN::PerformanceTerm
,
OpenNN::PlugIn
,
OpenNN::ProbabilisticLayer
,
OpenNN::QuasiNewtonMethod
,
OpenNN::RandomSearch
,
OpenNN::RootMeanSquaredError
,
OpenNN::ScalingLayer
,
OpenNN::SolutionsError
,
OpenNN::SumSquaredError
,
OpenNN::TestingAnalysis
,
OpenNN::TrainingAlgorithm
,
OpenNN::TrainingRateAlgorithm
,
OpenNN::TrainingStrategy
,
OpenNN::UnscalingLayer
,
OpenNN::Variables
TrainingAlgorithm() :
OpenNN::TrainingAlgorithm
TrainingRateAlgorithm() :
OpenNN::TrainingRateAlgorithm
TrainingStrategy() :
OpenNN::TrainingStrategy
trim() :
OpenNN::DataSet
Triplet() :
OpenNN::TrainingRateAlgorithm::Triplet
tuck_in() :
OpenNN::Matrix< T >
,
OpenNN::Vector< T >
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