GradientDescent Member List

This is the complete list of members for GradientDescent, including all inherited members.

A_B (defined in OptimizationAlgorithm)OptimizationAlgorithmprotected
AT_B (defined in OptimizationAlgorithm)OptimizationAlgorithmprotected
calculate_training_direction(const Tensor< type, 1 > &, Tensor< type, 1 > &) constGradientDescent
check() constOptimizationAlgorithmvirtual
displayOptimizationAlgorithmprotected
display_periodOptimizationAlgorithmprotected
epochs_numberOptimizationAlgorithmprotected
first_learning_rate (defined in GradientDescent)GradientDescentprivate
from_XML(const tinyxml2::XMLDocument &)GradientDescentvirtual
get_display() constOptimizationAlgorithm
get_display_period() constOptimizationAlgorithm
get_hardware_use() constGradientDescent
get_learning_rate_algorithm() constGradientDescent
get_learning_rate_algorithm_pointer()GradientDescent
get_loss_goal() constGradientDescent
get_loss_index_pointer() constOptimizationAlgorithm
get_maximum_epochs_number() constGradientDescent
get_maximum_selection_failures() constGradientDescent
get_maximum_time() constGradientDescent
get_minimum_loss_decrease() constGradientDescent
get_neural_network_file_name() constOptimizationAlgorithm
get_save_period() constOptimizationAlgorithm
GradientDescent()GradientDescentexplicit
GradientDescent(LossIndex *)GradientDescentexplicit
hardware_useOptimizationAlgorithmprotected
has_loss_index() constOptimizationAlgorithm
learning_rate_algorithmGradientDescentprivate
load(const string &)OptimizationAlgorithm
loss_index_pointerOptimizationAlgorithmprotected
maximum_epochs_numberGradientDescentprivate
maximum_selection_failuresGradientDescentprivate
maximum_timeGradientDescentprivate
minimum_loss_decreaseGradientDescentprivate
neural_network_file_nameOptimizationAlgorithmprotected
non_blocking_thread_pool (defined in OptimizationAlgorithm)OptimizationAlgorithmprotected
OptimizationAlgorithm()OptimizationAlgorithmexplicit
OptimizationAlgorithm(LossIndex *)OptimizationAlgorithmexplicit
perform_training()GradientDescentvirtual
print() constOptimizationAlgorithmvirtual
product_vector_matrix (defined in OptimizationAlgorithm)OptimizationAlgorithmprotected
save(const string &) constOptimizationAlgorithm
save_periodOptimizationAlgorithmprotected
set()OptimizationAlgorithm
set_default()GradientDescentvirtual
set_display(const bool &)OptimizationAlgorithmvirtual
set_display_period(const Index &)OptimizationAlgorithm
set_hardware_use(const string &)OptimizationAlgorithm
set_learning_rate_algorithm(const LearningRateAlgorithm &) (defined in GradientDescent)GradientDescent
set_loss_goal(const type &)GradientDescent
set_loss_index_pointer(LossIndex *)GradientDescentvirtual
set_maximum_epochs_number(const Index &)GradientDescent
set_maximum_selection_failures(const Index &)GradientDescent
set_maximum_time(const type &)GradientDescent
set_minimum_loss_decrease(const type &)GradientDescent
set_neural_network_file_name(const string &)OptimizationAlgorithm
set_save_period(const Index &)OptimizationAlgorithm
set_threads_number(const int &) (defined in OptimizationAlgorithm)OptimizationAlgorithmvirtual
StoppingCondition enum nameOptimizationAlgorithm
thread_pool_device (defined in OptimizationAlgorithm)OptimizationAlgorithmprotected
to_string_matrix() constGradientDescentvirtual
training_loss_goalGradientDescentprivate
update_parameters(const DataSetBatch &batch, NeuralNetworkForwardPropagation &forward_propagation, LossIndexBackPropagation &back_propagation, GradientDescentData &optimization_data)GradientDescent
write_optimization_algorithm_type() const (defined in GradientDescent)GradientDescentvirtual
write_time(const type &) constOptimizationAlgorithm
write_XML(tinyxml2::XMLPrinter &) constGradientDescentvirtual
~GradientDescent()GradientDescentvirtual
~OptimizationAlgorithm()OptimizationAlgorithmvirtual