GradientDescent Member List
This is the complete list of members for
GradientDescent
, including all inherited members.
A_B
(defined in
OptimizationAlgorithm
)
OptimizationAlgorithm
protected
AT_B
(defined in
OptimizationAlgorithm
)
OptimizationAlgorithm
protected
calculate_training_direction
(const Tensor< type, 1 > &, Tensor< type, 1 > &) const
GradientDescent
check
() const
OptimizationAlgorithm
virtual
display
OptimizationAlgorithm
protected
display_period
OptimizationAlgorithm
protected
epochs_number
OptimizationAlgorithm
protected
first_learning_rate
(defined in
GradientDescent
)
GradientDescent
private
from_XML
(const tinyxml2::XMLDocument &)
GradientDescent
virtual
get_display
() const
OptimizationAlgorithm
get_display_period
() const
OptimizationAlgorithm
get_hardware_use
() const
GradientDescent
get_learning_rate_algorithm
() const
GradientDescent
get_learning_rate_algorithm_pointer
()
GradientDescent
get_loss_goal
() const
GradientDescent
get_loss_index_pointer
() const
OptimizationAlgorithm
get_maximum_epochs_number
() const
GradientDescent
get_maximum_selection_failures
() const
GradientDescent
get_maximum_time
() const
GradientDescent
get_minimum_loss_decrease
() const
GradientDescent
get_neural_network_file_name
() const
OptimizationAlgorithm
get_save_period
() const
OptimizationAlgorithm
GradientDescent
()
GradientDescent
explicit
GradientDescent
(LossIndex *)
GradientDescent
explicit
hardware_use
OptimizationAlgorithm
protected
has_loss_index
() const
OptimizationAlgorithm
learning_rate_algorithm
GradientDescent
private
load
(const string &)
OptimizationAlgorithm
loss_index_pointer
OptimizationAlgorithm
protected
maximum_epochs_number
GradientDescent
private
maximum_selection_failures
GradientDescent
private
maximum_time
GradientDescent
private
minimum_loss_decrease
GradientDescent
private
neural_network_file_name
OptimizationAlgorithm
protected
non_blocking_thread_pool
(defined in
OptimizationAlgorithm
)
OptimizationAlgorithm
protected
OptimizationAlgorithm
()
OptimizationAlgorithm
explicit
OptimizationAlgorithm
(LossIndex *)
OptimizationAlgorithm
explicit
perform_training
()
GradientDescent
virtual
print
() const
OptimizationAlgorithm
virtual
product_vector_matrix
(defined in
OptimizationAlgorithm
)
OptimizationAlgorithm
protected
save
(const string &) const
OptimizationAlgorithm
save_period
OptimizationAlgorithm
protected
set
()
OptimizationAlgorithm
set_default
()
GradientDescent
virtual
set_display
(const bool &)
OptimizationAlgorithm
virtual
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 *)
GradientDescent
virtual
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
)
OptimizationAlgorithm
virtual
StoppingCondition
enum name
OptimizationAlgorithm
thread_pool_device
(defined in
OptimizationAlgorithm
)
OptimizationAlgorithm
protected
to_string_matrix
() const
GradientDescent
virtual
training_loss_goal
GradientDescent
private
update_parameters
(const DataSetBatch &batch, NeuralNetworkForwardPropagation &forward_propagation, LossIndexBackPropagation &back_propagation, GradientDescentData &optimization_data)
GradientDescent
write_optimization_algorithm_type
() const (defined in
GradientDescent
)
GradientDescent
virtual
write_time
(const type &) const
OptimizationAlgorithm
write_XML
(tinyxml2::XMLPrinter &) const
GradientDescent
virtual
~GradientDescent
()
GradientDescent
virtual
~OptimizationAlgorithm
()
OptimizationAlgorithm
virtual
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