mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers > Member List

This is the complete list of members for mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >, including all inherited members.

Add(Args... args) (defined in mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Add(LayerTypes< CustomLayers... > layer) (defined in mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
BRNN(const size_t rho, const bool single=false, OutputLayerType outputLayer=OutputLayerType(), MergeLayerType *mergeLayer=new MergeLayerType(), MergeOutputType *mergeOutput=new MergeOutputType(), InitializationRuleType initializeRule=InitializationRuleType())	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Evaluate(const arma::mat &parameters, const size_t begin, const size_t batchSize, const bool deterministic)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Evaluate(const arma::mat &parameters, const size_t begin, const size_t batchSize)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
EvaluateWithGradient(const arma::mat &parameters, const size_t begin, GradType &gradient, const size_t batchSize)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Gradient(const arma::mat &parameters, const size_t begin, arma::mat &gradient, const size_t batchSize)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
NetworkType typedef	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
NumFunctions() const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Parameters() const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Parameters()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Predict(arma::cube predictors, arma::cube &results, const size_t batchSize=256)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Predictors() const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Predictors()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Reset()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
ResetParameters()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Responses() const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Responses()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Rho() const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
Rho()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >	inline
serialize(Archive &ar, const uint32_t)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Shuffle()	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Train(arma::cube predictors, arma::cube responses, OptimizerType &optimizer)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
Train(arma::cube predictors, arma::cube responses)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
WarnMessageMaxIterations(OptimizerType &optimizer, size_t samples) const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
WarnMessageMaxIterations(OptimizerType &optimizer, size_t samples) const	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >
~BRNN() (defined in mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >)	mlpack::ann::BRNN< OutputLayerType, MergeLayerType, MergeOutputType, InitializationRuleType, CustomLayers >