提交 f0b25c4c 编写于 作者: C caoying03

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上级 be4c0123
......@@ -44,21 +44,20 @@ def create(layers):
class Parameters(object):
"""
`Parameters` manages all the learnable parameters in a neural network.
It stores parameters' information in an OrderedDict, key of which is
the name of a parameter, and value related to a key is a parameter's
configuration, such as initialization mean and std, its size, whether it is
a static parameter, and so on.
:param __param_conf__: this member stores the configurations of learnable
parameters in a network in an OrderedDict. The parameters are added by
following their creation order in the neural network one by one:
parameters of the previous layers in a network are careted first.
When a user iterates over this dict, he can visit parameters in the
network from button to up.
It stores parameters' information in an OrderedDict. The key is
the name of a parameter, and value is a parameter's configuration(in
protobuf format), such as initialization mean and std, its size, whether it
is a static parameter, and so on.
:param __param_conf__: store the configurations of learnable parameters in
the network in an OrderedDict. Parameter is added one by one into the
dict by following their created order in the network: parameters of
the previous layers in a network are careted first. You can visit the
parameters from bottom to top by iterating over this dict.
:type __param_conf__: OrderedDict
:param __gradient_machines__: all of the parameters in a neural network are
appended to a Paddle gradient machine, which is used internally to copy
the parameter values between the C++ and Python end.
appended to a PaddlePaddle gradient machine, which is used internally to
copy parameter values between C++ and Python end.
:type __gradient_machines__: list
:param __tmp_params__: a dict to store dummy parameters if no
__gradient_machines__ is appended to `Parameters`.
......@@ -271,7 +270,7 @@ class Parameters(object):
append gradient machine to parameters. This method is used internally in
Trainer.train.
:param gradient_machine: Paddle C++ GradientMachine object.
:param gradient_machine: PaddlePaddle C++ GradientMachine object.
:type gradient_machine: api.GradientMachine
:return:
"""
......
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