brainpy.optimizers.PolynomialDecay

class brainpy.optimizers.PolynomialDecay(lr, decay_steps, final_lr, power=1.0)

__init__(lr, decay_steps, final_lr, power=1.0)

Methods

__init__(lr, decay_steps, final_lr[, power])
load_states(filename[, verbose])	Load the model states.
nodes([method, level, include_self])	Collect all children nodes.
register_implicit_nodes(nodes)
register_implicit_vars(variables)
save_states(filename[, variables])	Save the model states.
train_vars([method, level, include_self])	The shortcut for retrieving all trainable variables.
unique_name([name, type_])	Get the unique name for this object.
update()
vars([method, level, include_self])	Collect all variables in this node and the children nodes.

Attributes

name