brainpy.nn.algorithms.LMS#

class brainpy.nn.algorithms.LMS(alpha=0.1, name=None)[source]#

The least mean squares (LMS).

__init__(alpha=0.1, name=None)[source]#

Methods

__init__([alpha, name])

call(name, target, input, output)

The training procedure.

initialize(name, *args, **kwargs)

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.

vars([method, level, include_self])

Collect all variables in this node and the children nodes.

Attributes

name