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

- f -

• false_negatives_indices : opennn::TestingAnalysis::BinaryClassificationRates
• false_positives_indices : opennn::TestingAnalysis::BinaryClassificationRates
• features : opennn::BatchNorm, opennn::Bound, opennn::Scale, opennn::Unscale
• fill() : opennn::Batch, opennn::opennn::TensorView, opennn::TensorView
• fill_decoder() : opennn::Dataset
• fill_gaps() : opennn::TimeSeriesDataset
• fill_inputs() : opennn::Dataset, opennn::TimeSeriesDataset
• fill_targets() : opennn::Dataset, opennn::TimeSeriesDataset
• filter_feasible_points() : opennn::ResponseOptimization
• find() : opennn::Json, opennn::opennn::Json
• find_optimal_clusters() : opennn::KMeans
• first_child() : opennn::Json, opennn::JsonDocument, opennn::opennn::Json, opennn::opennn::JsonDocument
• first_quartile : opennn::BoxPlot
• fit() : opennn::KMeans
• Flatten() : opennn::Flatten
• ForecastingNetwork() : opennn::ForecastingNetwork
• Form : opennn::Correlation
• form : opennn::Correlation
• forward_propagate() : opennn::Activation, opennn::Add, opennn::BatchNorm, opennn::Bound, opennn::Combination, opennn::Convolution, opennn::ConvolutionalRelu, opennn::Dropout, opennn::EmbeddingLookup, opennn::Flat, opennn::Layer, opennn::LayerNorm, opennn::MultiHeadAttention, opennn::NeuralNetwork, opennn::Operator, opennn::Pool3d, opennn::Pool, opennn::Recurrent, opennn::Scale, opennn::Scaling, opennn::Unscale, opennn::Unscaling
• forward_scratch_specs() : opennn::Attention
• ForwardPropagation() : opennn::ForwardPropagation, opennn::opennn::ForwardPropagation
• frequencies : opennn::Histogram
• from_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
• from_string() : opennn::Activation, opennn::EnumMap< Enum >
• Function : opennn::Activation
• function : opennn::Activation
• fused_activation : opennn::Convolution