Add(Args... args) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Add(LayerTypes< CustomLayers... > layer) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Evaluate(const arma::mat ¶meters, const size_t begin, const size_t batchSize, const bool deterministic) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Evaluate(const arma::mat ¶meters, const size_t begin, const size_t batchSize) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
EvaluateWithGradient(const arma::mat ¶meters, const size_t begin, GradType &gradient, const size_t batchSize) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Gradient(const arma::mat ¶meters, const size_t begin, arma::mat &gradient, const size_t batchSize) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
NetworkType typedef | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
NumFunctions() const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
operator=(const RNN &) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
operator=(RNN &&) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Parameters() const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Parameters() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Predict(arma::cube predictors, arma::cube &results, const size_t batchSize=256) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Predictors() const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Predictors() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Reset() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
ResetParameters() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Responses() const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Responses() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Rho() const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
Rho() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | inline |
RNN(const size_t rho, const bool single=false, OutputLayerType outputLayer=OutputLayerType(), InitializationRuleType initializeRule=InitializationRuleType()) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
RNN(const RNN &) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
RNN(RNN &&) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
serialize(Archive &ar, const uint32_t) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Shuffle() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Train(arma::cube predictors, arma::cube responses, OptimizerType &optimizer, CallbackTypes &&... callbacks) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
Train(arma::cube predictors, arma::cube responses, CallbackTypes &&... callbacks) | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
WarnMessageMaxIterations(OptimizerType &optimizer, size_t samples) const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
WarnMessageMaxIterations(OptimizerType &optimizer, size_t samples) const | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |
~RNN() | RNN< OutputLayerType, InitializationRuleType, CustomLayers > | |