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

- f -

• feature_count() : opennn::Variable
• file_size() : opennn::FileReader
• FileReader() : opennn::FileReader
• FileWriter() : opennn::FileWriter
• fill() : opennn::Batch, opennn::TensorView
• fill_decoder() : opennn::Dataset, opennn::LanguageDataset
• fill_gaps() : opennn::TimeSeriesDataset
• fill_inputs() : opennn::Dataset, opennn::ImageDataset, opennn::LanguageDataset, opennn::TimeSeriesDataset
• fill_targets() : opennn::Dataset, opennn::ImageDataset, opennn::LanguageDataset, opennn::TimeSeriesDataset
• filter_feasible_points() : opennn::ResponseOptimization
• filter_used_samples_by_column() : opennn::TabularDataset
• find() : opennn::Json
• find_optimal_clusters() : opennn::KMeans
• finish_with_rename() : opennn::FileWriter
• first_child() : opennn::Json, opennn::JsonDocument
• fit() : opennn::KMeans
• Flatten() : opennn::Flatten
• ForecastingNetwork() : opennn::ForecastingNetwork
• forward_propagate() : opennn::ActivationOp, opennn::AddOp, opennn::AttentionOp, opennn::BatchNormOp, opennn::BoundOp, opennn::CombinationOp, opennn::CombinationReluOp, opennn::ConvolutionOp, opennn::ConvolutionReluOp, opennn::DropoutOp, opennn::EmbeddingLookupOp, opennn::FlatOp, opennn::Layer, opennn::LayerNormOp, opennn::MergeOp, opennn::MultiHeadProjectionOp, opennn::NeuralNetwork, opennn::Operator, opennn::Pool3dOp, opennn::PoolOp, opennn::Recurrent, opennn::ScaleOp, opennn::UnscaleOp
• forward_scratch_specs() : opennn::AttentionOp
• ForwardPropagation() : opennn::ForwardPropagation
• from_JSON() : opennn::ActivationOp, opennn::AdaptiveMomentEstimation, opennn::AttentionOp, opennn::BatchNormOp, opennn::Dataset, opennn::DropoutOp, 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::TabularDataset, opennn::TestingAnalysis, opennn::TimeSeriesDataset, opennn::TrainingStrategy, opennn::Variable
• from_string() : opennn::ActivationOp, opennn::EnumMap< Enum >