Here is a list of all class members with links to the classes they belong to:

- t -

• target : opennn::Batch
• target_contiguous : opennn::Batch
• target_shape : opennn::Batch, opennn::Dataset
• target_view_cache : opennn::Batch
• target_view_host_cache : opennn::Batch
• targets : opennn::TestingAnalysis::GoodnessOfFitAnalysis
• targets_host : opennn::Batch
• targets_host_allocated_size : opennn::Batch
• teardown_device_training() : opennn::Optimizer
• TensorView() : opennn::opennn::TensorView, opennn::TensorView
• test_transformer() : opennn::TestingAnalysis
• TestingAnalysis() : opennn::TestingAnalysis
• TextClassificationNetwork() : opennn::TextClassificationNetwork
• third_quartile : opennn::BoxPlot
• times_ms : opennn::profiler::Stats
• TimeSeriesDataset() : opennn::TimeSeriesDataset
• to_cudnn_mode() : opennn::Activation
• to_JSON() : opennn::Activation, opennn::AdaptiveMomentEstimation, opennn::Attention, opennn::BatchNorm, opennn::Dataset, opennn::Dropout, opennn::GeneticAlgorithm, opennn::GrowingInputs, opennn::GrowingNeurons, opennn::ImageDataset, opennn::InputsSelection, opennn::LanguageDataset, opennn::Layer, opennn::LevenbergMarquardtAlgorithm, opennn::Loss, opennn::ModelSelection, opennn::NeuralNetwork, opennn::NeuronSelection, opennn::Operator, opennn::Optimizer, opennn::QuasiNewtonMethod, opennn::StochasticGradientDescent, opennn::TestingAnalysis, opennn::TimeSeriesDataset, opennn::TrainingStrategy, opennn::Variable
• to_string() : opennn::Activation, opennn::EnumMap< Enum >
• to_tensor() : opennn::Descriptives
• train() : opennn::AdaptiveMomentEstimation, opennn::LevenbergMarquardtAlgorithm, opennn::Optimizer, opennn::QuasiNewtonMethod, opennn::StochasticGradientDescent, opennn::TrainingStrategy
• train_epoch() : opennn::Optimizer
• training_direction : opennn::OptimizerData
• training_error_history : opennn::InputsSelectionResults, opennn::NeuronSelection, opennn::NeuronsSelectionResults, opennn::TrainingResults
• training_loss_goal : opennn::Optimizer
• training_strategy : opennn::InputsSelection, opennn::NeuronSelection
• training_type : opennn::Configuration::Resolved, opennn::opennn::Configuration::Resolved
• TrainingResults() : opennn::TrainingResults
• TrainingStrategy() : opennn::TrainingStrategy
• Transformer() : opennn::Transformer
• trials_number : opennn::InputsSelection, opennn::NeuronSelection
• true_negatives_indices : opennn::TestingAnalysis::BinaryClassificationRates
• true_positives_indices : opennn::TestingAnalysis::BinaryClassificationRates
• type : opennn::opennn::TensorView, opennn::opennn::TypeInfo< Type::BF16 >, opennn::opennn::TypeInfo< Type::FP32 >, opennn::opennn::TypeInfo< Type::INT8 >, opennn::TensorView, opennn::TypeInfo< Type::BF16 >, opennn::TypeInfo< Type::FP32 >, opennn::TypeInfo< Type::INT8 >, opennn::Variable