paddle.v2.parameters.ParametersParameters is a dictionary contains Paddle’s parameter. The key of
-Parameters is the name of parameter. The value of Parameters is a plain
-numpy.ndarry .
Parameters manages all the learnable parameters in a neural network. +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.
+| Parameters: |
|
+
|---|
Basically usage is
data = paddle.layers.data(...)
...
@@ -343,7 +365,7 @@ Trainer.train.
Parameters: gradient_machine (api.GradientMachine) – Paddle C++ GradientMachine object.
+Parameters: gradient_machine (api.GradientMachine) – PaddlePaddle C++ GradientMachine object.
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\ No newline at end of file
diff --git a/develop/doc_cn/api/v2/run_logic.html b/develop/doc_cn/api/v2/run_logic.html
index a2009e073a52ea54f690ff2ad384aa6e90864070..1b2b3de27fd0afafdb1631656124aa385e24c6db 100644
--- a/develop/doc_cn/api/v2/run_logic.html
+++ b/develop/doc_cn/api/v2/run_logic.html
@@ -197,9 +197,31 @@
-
class
paddle.v2.parameters.Parameters
-Parameters is a dictionary contains Paddle’s parameter. The key of
-Parameters is the name of parameter. The value of Parameters is a plain
-numpy.ndarry .
+Parameters manages all the learnable parameters in a neural network.
+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.
+
+参数:
+- __param_conf__ (OrderedDict) – 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.
+- __gradient_machines__ (list) – all of the parameters in a neural network are
+appended to a PaddlePaddle gradient machine, which is used internally to
+copy parameter values between C++ and Python end.
+- __tmp_params__ (dict) – a dict to store dummy parameters if no
+__gradient_machines__ is appended to Parameters.
+
+
Basically usage is
data = paddle.layers.data(...)
...
@@ -348,7 +370,7 @@ Trainer.train.
参数: gradient_machine (api.GradientMachine) – Paddle C++ GradientMachine object.
+参数: gradient_machine (api.GradientMachine) – PaddlePaddle C++ GradientMachine object.
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