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