This is the complete list of members for RecurrentLayer, including all inherited members.
| A_B (defined in Layer) | Layer | protected |
| A_BT (defined in Layer) | Layer | protected |
| activation_function | RecurrentLayer | protected |
| ActivationFunction enum name | RecurrentLayer | |
| AT_B (defined in Layer) | Layer | protected |
| biases | RecurrentLayer | protected |
| binary(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| binary(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| calculate_activations(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_activations_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_activations_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_biases_error_gradient(const Tensor< type, 2 > &, RecurrentLayerForwardPropagation *, RecurrentLayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_combinations(const Tensor< type, 1 > &, const Tensor< type, 2 > &, const Tensor< type, 2 > &, const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_error_gradient(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | virtual |
| calculate_error_gradient(const Tensor< type, 4 > &, LayerForwardPropagation *, LayerBackPropagation *) const (defined in Layer) | Layer | inlinevirtual |
| calculate_hidden_delta(LayerForwardPropagation *, LayerBackPropagation *, LayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | virtual |
| calculate_hidden_delta_lm(LayerForwardPropagation *, LayerBackPropagationLM *, LayerBackPropagationLM *) const (defined in Layer) | Layer | inlinevirtual |
| calculate_hidden_delta_perceptron(PerceptronLayerForwardPropagation *, PerceptronLayerBackPropagation *, RecurrentLayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_hidden_delta_probabilistic(ProbabilisticLayerForwardPropagation *, ProbabilisticLayerBackPropagation *, RecurrentLayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_input_weights_error_gradient(const Tensor< type, 2 > &, RecurrentLayerForwardPropagation *, RecurrentLayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_outputs(const Tensor< type, 2 > &) (defined in RecurrentLayer) | RecurrentLayer | virtual |
| calculate_outputs_4D(const Tensor< type, 4 > &) (defined in Layer) | Layer | inlinevirtual |
| calculate_outputs_from4D(const Tensor< type, 4 > &) (defined in Layer) | Layer | inlinevirtual |
| calculate_recurrent_weights_error_gradient(const Tensor< type, 2 > &, RecurrentLayerForwardPropagation *, RecurrentLayerBackPropagation *) const (defined in RecurrentLayer) | RecurrentLayer | |
| calculate_squared_errors_Jacobian_lm(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagationLM *) (defined in Layer) | Layer | inlinevirtual |
| competitive(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| competitive(const Tensor< type, 2 > &, Tensor< type, 2 > &) const | Layer | protected |
| display | RecurrentLayer | protected |
| exponential_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| exponential_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| exponential_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| exponential_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| exponential_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| exponential_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| forward_propagate(const Tensor< type, 2 > &, LayerForwardPropagation *) (defined in RecurrentLayer) | RecurrentLayer | virtual |
| forward_propagate(const Tensor< type, 2 > &, const Tensor< type, 1 >, LayerForwardPropagation *) (defined in RecurrentLayer) | RecurrentLayer | virtual |
| forward_propagate(const Tensor< type, 4 > &, LayerForwardPropagation *) (defined in Layer) | Layer | inlinevirtual |
| forward_propagate(const Tensor< type, 4 > &, Tensor< type, 1 >, LayerForwardPropagation *) (defined in Layer) | Layer | inlinevirtual |
| from_XML(const tinyxml2::XMLDocument &) (defined in RecurrentLayer) | RecurrentLayer | virtual |
| get_activation_function() const | RecurrentLayer | |
| get_biases() const | RecurrentLayer | |
| get_biases(const Tensor< type, 1 > &) const | RecurrentLayer | |
| get_biases_number() const (defined in RecurrentLayer) | RecurrentLayer | |
| get_display() const | RecurrentLayer | |
| get_hidden_states() const | RecurrentLayer | |
| get_input_weights() const | RecurrentLayer | |
| get_input_weights(const Tensor< type, 1 > &) const | RecurrentLayer | |
| get_input_weights_number() const (defined in RecurrentLayer) | RecurrentLayer | |
| get_inputs_number() const | RecurrentLayer | virtual |
| get_name() const (defined in Layer) | Layer | inline |
| get_neurons_number() const | RecurrentLayer | virtual |
| get_parameters() const | RecurrentLayer | virtual |
| get_parameters_number() const | RecurrentLayer | virtual |
| get_recurrent_weights() const | RecurrentLayer | |
| get_recurrent_weights(const Tensor< type, 1 > &) const | RecurrentLayer | |
| get_recurrent_weights_number() const (defined in RecurrentLayer) | RecurrentLayer | |
| get_synaptic_weights_number() const | Layer | virtual |
| get_timesteps() const (defined in RecurrentLayer) | RecurrentLayer | |
| get_type() const | Layer | |
| get_type_string() const | Layer | |
| hard_sigmoid(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| hard_sigmoid(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| hard_sigmoid(const Tensor< type, 4 > &, Tensor< type, 4 > &) const | Layer | protected |
| hard_sigmoid_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| hard_sigmoid_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| hard_sigmoid_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| hidden_states (defined in RecurrentLayer) | RecurrentLayer | protected |
| hyperbolic_tangent(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| hyperbolic_tangent(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| hyperbolic_tangent(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| hyperbolic_tangent_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| hyperbolic_tangent_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| hyperbolic_tangent_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| initialize_input_weights_Glorot(const type &, const type &) | RecurrentLayer | |
| input_weights (defined in RecurrentLayer) | RecurrentLayer | protected |
| insert_gradient(LayerBackPropagation *, const Index &, Tensor< type, 1 > &) const (defined in RecurrentLayer) | RecurrentLayer | virtual |
| insert_squared_errors_Jacobian_lm(LayerBackPropagationLM *, const Index &, Tensor< type, 2 > &) const (defined in Layer) | Layer | inlinevirtual |
| is_empty() const (defined in RecurrentLayer) | RecurrentLayer | |
| Layer() (defined in Layer) | Layer | inlineexplicit |
| layer_name | Layer | protected |
| layer_type | Layer | protected |
| linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| logistic(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| logistic(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| logistic(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| logistic_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| logistic_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| logistic_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 3 > &) const (defined in Layer) | Layer | protected |
| logistic_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| non_blocking_thread_pool (defined in Layer) | Layer | protected |
| rectified_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| rectified_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| rectified_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| rectified_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| rectified_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| rectified_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| recurrent_weights | RecurrentLayer | protected |
| RecurrentLayer() | RecurrentLayer | explicit |
| RecurrentLayer(const Index &, const Index &) | RecurrentLayer | explicit |
| scaled_exponential_linear(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| scaled_exponential_linear(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| scaled_exponential_linear(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| scaled_exponential_linear_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| scaled_exponential_linear_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| scaled_exponential_linear_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| set() | RecurrentLayer | |
| set(const Index &, const Index &) | RecurrentLayer | |
| set(const RecurrentLayer &) | RecurrentLayer | |
| set_activation_function(const ActivationFunction &) | RecurrentLayer | |
| set_activation_function(const string &) | RecurrentLayer | |
| set_biases(const Tensor< type, 1 > &) (defined in RecurrentLayer) | RecurrentLayer | |
| set_biases_constant(const type &) | RecurrentLayer | |
| set_default() | RecurrentLayer | |
| set_display(const bool &) | RecurrentLayer | |
| set_hidden_states_constant(const type &) | RecurrentLayer | |
| set_input_shape(const Tensor< Index, 1 > &) (defined in RecurrentLayer) | RecurrentLayer | |
| set_input_weights(const Tensor< type, 2 > &) (defined in RecurrentLayer) | RecurrentLayer | |
| set_input_weights_constant(const type &) | RecurrentLayer | |
| set_inputs_number(const Index &) | RecurrentLayer | virtual |
| set_neurons_number(const Index &) | RecurrentLayer | virtual |
| set_parameters(const Tensor< type, 1 > &, const Index &=0) | RecurrentLayer | virtual |
| set_parameters_constant(const type &) | RecurrentLayer | virtual |
| set_parameters_random() | RecurrentLayer | virtual |
| set_recurrent_weights(const Tensor< type, 2 > &) (defined in RecurrentLayer) | RecurrentLayer | |
| set_recurrent_weights_constant(const type &) | RecurrentLayer | |
| set_threads_number(const int &) (defined in Layer) | Layer | |
| set_timesteps(const Index &) (defined in RecurrentLayer) | RecurrentLayer | |
| soft_plus(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| soft_plus(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| soft_plus(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| soft_plus_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| soft_plus_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| soft_plus_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| soft_sign(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| soft_sign(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| soft_sign(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| soft_sign_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| soft_sign_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| soft_sign_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| softmax(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| softmax(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| softmax_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 3 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| symmetric_threshold_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| thread_pool_device (defined in Layer) | Layer | protected |
| threshold(const Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| threshold(const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| threshold(const Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| threshold_derivatives(const Tensor< type, 1 > &, Tensor< type, 1 > &, Tensor< type, 1 > &) const (defined in Layer) | Layer | protected |
| threshold_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in Layer) | Layer | protected |
| threshold_derivatives(const Tensor< type, 4 > &, Tensor< type, 4 > &, Tensor< type, 4 > &) const (defined in Layer) | Layer | protected |
| timesteps (defined in RecurrentLayer) | RecurrentLayer | protected |
| Type enum name | Layer | |
| write_activation_function() const | RecurrentLayer | |
| write_activation_function_expression() const (defined in RecurrentLayer) | RecurrentLayer | |
| write_activations_python() const | RecurrentLayer | |
| write_combinations_python() const (defined in RecurrentLayer) | RecurrentLayer | |
| write_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | RecurrentLayer | virtual |
| write_expression_c() const (defined in Layer) | Layer | inlinevirtual |
| write_expression_python() const (defined in RecurrentLayer) | RecurrentLayer | virtual |
| write_XML(tinyxml2::XMLPrinter &) const (defined in RecurrentLayer) | RecurrentLayer | virtual |
| ~Layer() (defined in Layer) | Layer | virtual |
| ~RecurrentLayer() | RecurrentLayer | virtual |