This is the complete list of members for ProbabilisticLayer, including all inherited members.
A_B (defined in Layer) | Layer | protected |
A_BT (defined in Layer) | Layer | protected |
activation_function | ProbabilisticLayer | protected |
ActivationFunction enum name | ProbabilisticLayer | |
AT_B (defined in Layer) | Layer | protected |
biases | ProbabilisticLayer | 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, 2 > &, Tensor< type, 2 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
calculate_activations_derivatives(const Tensor< type, 2 > &, Tensor< type, 2 > &, Tensor< type, 3 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
calculate_combinations(const Tensor< type, 2 > &, const Tensor< type, 2 > &, const Tensor< type, 2 > &, Tensor< type, 2 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
calculate_error_gradient(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagation *) const (defined in ProbabilisticLayer) | ProbabilisticLayer | 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 Layer) | Layer | inlinevirtual |
calculate_hidden_delta_lm(LayerForwardPropagation *, LayerBackPropagationLM *, LayerBackPropagationLM *) const (defined in Layer) | Layer | inlinevirtual |
calculate_outputs(const Tensor< type, 2 > &) | ProbabilisticLayer | 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_squared_errors_Jacobian_lm(const Tensor< type, 2 > &, LayerForwardPropagation *, LayerBackPropagationLM *) (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
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 |
decision_threshold (defined in ProbabilisticLayer) | ProbabilisticLayer | protected |
display | ProbabilisticLayer | 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 ProbabilisticLayer) | ProbabilisticLayer | virtual |
forward_propagate(const Tensor< type, 2 > &, Tensor< type, 1 >, LayerForwardPropagation *) (defined in ProbabilisticLayer) | ProbabilisticLayer | 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 &) | ProbabilisticLayer | virtual |
get_activation_function() const | ProbabilisticLayer | |
get_biases() const | ProbabilisticLayer | |
get_biases(Tensor< type, 1 > &) const | ProbabilisticLayer | |
get_biases_number() const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
get_decision_threshold() const | ProbabilisticLayer | |
get_display() const | ProbabilisticLayer | |
get_inputs_number() const | ProbabilisticLayer | virtual |
get_name() const (defined in Layer) | Layer | inline |
get_neurons_number() const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
get_parameters() const | ProbabilisticLayer | virtual |
get_parameters_number() const | ProbabilisticLayer | virtual |
get_synaptic_weights() const | ProbabilisticLayer | |
get_synaptic_weights(Tensor< type, 1 > &) const | ProbabilisticLayer | |
get_synaptic_weights_number() const | ProbabilisticLayer | virtual |
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 |
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 |
insert_gradient(LayerBackPropagation *, const Index &, Tensor< type, 1 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
insert_parameters(const Tensor< type, 1 > &, const Index &) (defined in ProbabilisticLayer) | ProbabilisticLayer | |
insert_squared_errors_Jacobian_lm(LayerBackPropagationLM *, const Index &, Tensor< type, 2 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
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 |
ProbabilisticLayer() | ProbabilisticLayer | explicit |
ProbabilisticLayer(const Index &, const Index &) | ProbabilisticLayer | explicit |
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 |
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() | ProbabilisticLayer | |
set(const Index &, const Index &) | ProbabilisticLayer | |
set(const ProbabilisticLayer &) | ProbabilisticLayer | |
set_activation_function(const ActivationFunction &) | ProbabilisticLayer | |
set_activation_function(const string &) | ProbabilisticLayer | |
set_biases(const Tensor< type, 2 > &) (defined in ProbabilisticLayer) | ProbabilisticLayer | |
set_biases_constant(const type &) | ProbabilisticLayer | |
set_decision_threshold(const type &) | ProbabilisticLayer | |
set_default() | ProbabilisticLayer | virtual |
set_display(const bool &) | ProbabilisticLayer | |
set_inputs_number(const Index &) (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
set_neurons_number(const Index &) (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
set_parameters(const Tensor< type, 1 > &, const Index &index=0) (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
set_parameters_constant(const type &) | ProbabilisticLayer | virtual |
set_parameters_random() | ProbabilisticLayer | virtual |
set_synaptic_weights(const Tensor< type, 2 > &) (defined in ProbabilisticLayer) | ProbabilisticLayer | |
set_synaptic_weights_constant(const type &) | ProbabilisticLayer | |
set_synaptic_weights_constant_Glorot() (defined in ProbabilisticLayer) | ProbabilisticLayer | |
set_threads_number(const int &) (defined in Layer) | Layer | |
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 |
synaptic_weights | ProbabilisticLayer | 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 |
Type enum name | Layer | |
write_activation_function() const | ProbabilisticLayer | |
write_activation_function_text() const | ProbabilisticLayer | |
write_activations(const Tensor< string, 1 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
write_activations_c() const | ProbabilisticLayer | |
write_activations_python() const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
write_binary_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | ProbabilisticLayer | |
write_combinations(const Tensor< string, 1 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
write_combinations_c() const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
write_combinations_python() const (defined in ProbabilisticLayer) | ProbabilisticLayer | |
write_competitive_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | ProbabilisticLayer | |
write_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
write_expression_c() const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
write_expression_python() const (defined in ProbabilisticLayer) | ProbabilisticLayer | virtual |
write_logistic_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | ProbabilisticLayer | |
write_no_probabilistic_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | ProbabilisticLayer | |
write_softmax_expression(const Tensor< string, 1 > &, const Tensor< string, 1 > &) const | ProbabilisticLayer | |
write_XML(tinyxml2::XMLPrinter &) const | ProbabilisticLayer | virtual |
~Layer() (defined in Layer) | Layer | virtual |
~ProbabilisticLayer() | ProbabilisticLayer | virtual |