OpenNN
2.2
Open Neural Networks Library
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Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level
1
2
]
C
OpenNN::BoundingLayer
C
OpenNN::ConditionsLayer
C
OpenNN::DataSet
C
OpenNN::PerformanceFunctional::FirstOrderperformance
C
OpenNN::PerformanceTerm::FirstOrderPerformance
C
OpenNN::PerformanceTerm::FirstOrderTerms
C
OpenNN::Histogram< T >
C
OpenNN::IndependentParameters
C
OpenNN::Inputs
C
OpenNN::Instances
C
OpenNN::Instances::Item
C
OpenNN::Variables::Item
C
OpenNN::Outputs::Item
C
OpenNN::MissingValues::Item
C
OpenNN::Inputs::Item
C
OpenNN::LinearRegressionParameters< T >
C
OpenNN::TestingAnalysis::LinearRegressionResults
C
OpenNN::LogisticRegressionParameters< T >
▼
C
OpenNN::MathematicalModel
C
OpenNN::OrdinaryDifferentialEquations
C
OpenNN::PlugIn
C
OpenNN::MissingValues
C
OpenNN::ModelSelection
C
OpenNN::ModelSelection::ModelSelectionResults
C
OpenNN::MultilayerPerceptron
C
OpenNN::NeuralNetwork
C
OpenNN::NumericalDifferentiation
C
OpenNN::NumericalIntegration
C
OpenNN::Outputs
C
OpenNN::Perceptron
C
OpenNN::PerceptronLayer
C
OpenNN::PerformanceFunctional
▼
C
OpenNN::PerformanceTerm
C
OpenNN::CrossEntropyError
C
OpenNN::FinalSolutionsError
C
OpenNN::IndependentParametersError
C
OpenNN::InverseSumSquaredError
C
OpenNN::MeanSquaredError
C
OpenNN::MinkowskiError
C
OpenNN::NeuralParametersNorm
C
OpenNN::NormalizedSquaredError
C
OpenNN::OutputsIntegrals
C
OpenNN::RootMeanSquaredError
C
OpenNN::SolutionsError
C
OpenNN::SumSquaredError
C
OpenNN::ProbabilisticLayer
C
OpenNN::TrainingStrategy::Results
C
OpenNN::ScalingLayer
C
OpenNN::PerformanceFunctional::SecondOrderperformance
C
OpenNN::PerformanceTerm::SecondOrderPerformance
C
OpenNN::Statistics< T >
C
OpenNN::TestingAnalysis
▼
C
OpenNN::TrainingAlgorithm
C
OpenNN::ConjugateGradient
C
OpenNN::EvolutionaryAlgorithm
C
OpenNN::GradientDescent
C
OpenNN::LevenbergMarquardtAlgorithm
C
OpenNN::NewtonMethod
C
OpenNN::QuasiNewtonMethod
C
OpenNN::RandomSearch
▼
C
OpenNN::TrainingAlgorithm::TrainingAlgorithmResults
C
OpenNN::ConjugateGradient::ConjugateGradientResults
C
OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
C
OpenNN::GradientDescent::GradientDescentResults
C
OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults
C
OpenNN::NewtonMethod::NewtonMethodResults
C
OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
C
OpenNN::RandomSearch::RandomSearchResults
C
OpenNN::TrainingRateAlgorithm
C
OpenNN::TrainingStrategy
C
OpenNN::TrainingRateAlgorithm::Triplet
C
OpenNN::UnscalingLayer
C
OpenNN::Variables
▼
C
vector
C
OpenNN::Matrix< double >
C
OpenNN::Matrix< OpenNN::Vector< double > >
C
OpenNN::Matrix< T >
C
OpenNN::Vector< T >
C
OpenNN::Vector< bool >
C
OpenNN::Vector< double >
C
OpenNN::Vector< OpenNN::Inputs::Item >
C
OpenNN::Vector< OpenNN::Instances::Item >
C
OpenNN::Vector< OpenNN::LinearRegressionParameters< double > >
C
OpenNN::Vector< OpenNN::Matrix< double > >
C
OpenNN::Vector< OpenNN::MissingValues::Item >
C
OpenNN::Vector< OpenNN::Outputs::Item >
C
OpenNN::Vector< OpenNN::Perceptron >
C
OpenNN::Vector< OpenNN::PerceptronLayer >
C
OpenNN::Vector< OpenNN::Statistics< double > >
C
OpenNN::Vector< OpenNN::Variables::Item >
C
OpenNN::Vector< OpenNN::Vector< double > >
C
OpenNN::Vector< OpenNN::Vector< size_t > >
C
OpenNN::Vector< size_t >
C
OpenNN::Vector< std::string >
C
OpenNN::PerformanceFunctional::ZeroOrderperformance
C
OpenNN::PerformanceTerm::ZerothOrderPerformance
C
OpenNN::PerformanceTerm::ZerothOrderTerms
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