Here is a list of all documented class members with links to the class documentation for each member:
- independent_parameters_pointer
: OpenNN::NeuralNetwork
- independent_variables_number
: OpenNN::MathematicalModel
- IndependentParameters()
: OpenNN::IndependentParameters
- IndependentParametersError()
: OpenNN::IndependentParametersError
- initial_dependent_variables
: OpenNN::OrdinaryDifferentialEquations
- initial_independent_variable
: OpenNN::OrdinaryDifferentialEquations
- initial_size
: OpenNN::OrdinaryDifferentialEquations
- initialization_training_algorithm_flag
: OpenNN::TrainingStrategy
- initialization_training_algorithm_pointer
: OpenNN::TrainingStrategy
- initialization_training_algorithm_results_pointer
: OpenNN::TrainingStrategy::Results
- initialization_training_algorithm_type
: OpenNN::TrainingStrategy
- initialize()
: OpenNN::Matrix< Type >
, OpenNN::Vector< Type >
- initialize_bias()
: OpenNN::Perceptron
- initialize_bias_normal()
: OpenNN::Perceptron
- initialize_bias_uniform()
: OpenNN::Perceptron
- initialize_biases()
: OpenNN::MultilayerPerceptron
, OpenNN::PerceptronLayer
- initialize_data()
: OpenNN::DataSet
- initialize_data_normal()
: OpenNN::DataSet
- initialize_diagonal()
: OpenNN::Matrix< Type >
- initialize_identity()
: OpenNN::Matrix< Type >
- initialize_normal()
: OpenNN::Vector< Type >
, OpenNN::Matrix< Type >
- initialize_parameters()
: OpenNN::IndependentParameters
, OpenNN::MultilayerPerceptron
, OpenNN::NeuralNetwork
, OpenNN::Perceptron
, OpenNN::PerceptronLayer
- initialize_parameters_normal()
: OpenNN::IndependentParameters
, OpenNN::MultilayerPerceptron
, OpenNN::NeuralNetwork
, OpenNN::PerceptronLayer
- initialize_parameters_uniform()
: OpenNN::MultilayerPerceptron
, OpenNN::NeuralNetwork
, OpenNN::PerceptronLayer
, OpenNN::IndependentParameters
, OpenNN::MultilayerPerceptron
- initialize_population()
: OpenNN::EvolutionaryAlgorithm
- initialize_population_normal()
: OpenNN::EvolutionaryAlgorithm
- initialize_population_uniform()
: OpenNN::EvolutionaryAlgorithm
- initialize_random()
: OpenNN::BoundingLayer
, OpenNN::ConditionsLayer
, OpenNN::IndependentParameters
, OpenNN::InputsOutputsInformation
, OpenNN::MultilayerPerceptron
, OpenNN::NeuralNetwork
, OpenNN::PerceptronLayer
, OpenNN::ScalingLayer
, OpenNN::UnscalingLayer
, OpenNN::ProbabilisticLayer
- initialize_sequential()
: OpenNN::Vector< Type >
- initialize_synaptic_weights()
: OpenNN::Perceptron
, OpenNN::PerceptronLayer
, OpenNN::MultilayerPerceptron
- initialize_synaptic_weights_normal()
: OpenNN::Perceptron
- initialize_synaptic_weights_uniform()
: OpenNN::Perceptron
- initialize_uniform()
: OpenNN::Vector< Type >
, OpenNN::Matrix< Type >
, OpenNN::Vector< Type >
- InputMethod
: OpenNN::PlugIn
- inputs_description
: OpenNN::InputsOutputsInformation
- inputs_name
: OpenNN::InputsOutputsInformation
- inputs_outputs_information_pointer
: OpenNN::NeuralNetwork
- inputs_units
: OpenNN::InputsOutputsInformation
- InputsOutputsInformation()
: OpenNN::InputsOutputsInformation
- InstancesInformation()
: OpenNN::InstancesInformation
- inverse_Hessian_history
: OpenNN::NewtonMethod::NewtonMethodResults
, OpenNN::QuasiNewtonMethod::QuasiNetwonMethodResults
- InverseHessianApproximationMethod
: OpenNN::QuasiNewtonMethod
- InverseProblemTesting()
: OpenNN::InverseProblemTesting
- InverseSumSquaredError()
: OpenNN::InverseSumSquaredError
- is_antisymmetric()
: OpenNN::Matrix< Type >
- is_diagonal()
: OpenNN::Matrix< Type >
- is_empty()
: OpenNN::InputsOutputsInformation
, OpenNN::ScalingLayer
, OpenNN::PerceptronLayer
, OpenNN::UnscalingLayer
, OpenNN::MultilayerPerceptron
, OpenNN::BoundingLayer
, OpenNN::IndependentParameters
- is_identity()
: OpenNN::Matrix< Type >
- is_scalar()
: OpenNN::Matrix< Type >
- is_square()
: OpenNN::Matrix< Type >
- is_symmetric()
: OpenNN::Matrix< Type >