diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html index 9615ce5c8227345e56fd5537782ad8c50c60be4b..cd8ee19873c667fc981b670b4f41bff035d6a8a7 100644 --- a/develop/doc/api/v2/config/layer.html +++ b/develop/doc/api/v2/config/layer.html @@ -3847,9 +3847,13 @@ should be consistent as that used in your labels.
paddle.v2.layer.
nce
Noise-contrastive estimation. -Implements the method in the following paper: -A fast and simple algorithm for training neural probabilistic language models.
+Noise-contrastive estimation. This layer implements the method in the +following paper:
+The example usage is:
cost = nce(input=[layer1, layer2], label=layer2,
param_attr=[attr1, attr2], weight=layer3,
@@ -3862,24 +3866,31 @@ A fast and simple algorithm for training neural probabilistic language models.
Parameters:
- name (basestring) – The name of this layer. It is optional.
-- input (paddle.v2.config_base.Layer | list | tuple | collections.Sequence) – The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.
-- label (paddle.v2.config_base.Layer) – label layer
-- weight (paddle.v2.config_base.Layer) – weight layer, can be None(default)
-- num_classes (int) – number of classes.
-- act (paddle.v2.activation.Base) – Activation type. paddle.v2.activation.Sigmoid is the default.
-- param_attr (paddle.v2.attr.ParameterAttribute) – The Parameter Attribute|list.
-- num_neg_samples (int) – number of negative samples. Default is 10.
-- neg_distribution (list | tuple | collections.Sequence | None) – The distribution for generating the random negative labels.
-A uniform distribution will be used if not provided.
-If not None, its length must be equal to num_classes.
-- bias_attr (paddle.v2.attr.ParameterAttribute | None | bool | Any) – The bias attribute. If the parameter is set to False or an object
-whose type is not paddle.v2.attr.ParameterAttribute, no bias is defined. If the
-parameter is set to True, the bias is initialized to zero.
+- input (paddle.v2.config_base.Layer | list | tuple | collections.Sequence) – The input layers. It should be a paddle.v2.config_base.Layer or a list/tuple
+of paddle.v2.config_base.Layer.
+- label (paddle.v2.config_base.Layer) – The ground truth.
+- weight (paddle.v2.config_base.Layer) – The weight layer defines a weight for each sample in the
+mini-batch. The default value is None.
+- num_classes (int) – The class number.
+- param_attr (paddle.v2.attr.ParameterAttribute|list) – The parameter attributes.
+- num_neg_samples (int) – The number of sampled negative labels. The default
+value is 10.
+- neg_distribution (list | tuple | collections.Sequence | None) – The discrete noisy distribution over the output
+space from which num_neg_samples negative labels
+are sampled. If this parameter is not set, a
+uniform distribution will be used. A user defined
+distribution is a list whose length must be equal
+to the num_classes. Each member of the list defines
+the probability of a class given input x.
+- bias_attr (paddle.v2.attr.ParameterAttribute | None | bool | Any) – The attribute for bias. If this parameter is set False or
+any object whose type is not paddle.v2.attr.ParameterAttribute, no bias
+is added. If this parameter is set True, the bias is
+initialized to zero.
- layer_attr (paddle.v2.attr.ExtraAttribute) – Extra Layer Attribute.
-Returns: layer name.
+Returns: The paddle.v2.config_base.Layer object.
Return type: paddle.v2.config_base.Layer
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index 27313bf8c7e723a6e86a0b19df9f3214765d2f0e..19419ca15fc481d82c51ac1d73f11f7806a8dfc0 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
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\ No newline at end of file
diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html
index 353c40a70e6f46e724d676a6deaf791a7e191f9d..1373a16adbba038245f5ae8b2d9a4e972357c7a5 100644
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -3861,9 +3861,13 @@ should be consistent as that used in your labels.
-
class
paddle.v2.layer.
nce
-Noise-contrastive estimation.
-Implements the method in the following paper:
-A fast and simple algorithm for training neural probabilistic language models.
+Noise-contrastive estimation. This layer implements the method in the
+following paper:
+
+- Reference:
+- A fast and simple algorithm for training neural probabilistic language
+models. https://www.cs.toronto.edu/~amnih/papers/ncelm.pdf
+
The example usage is:
cost = nce(input=[layer1, layer2], label=layer2,
param_attr=[attr1, attr2], weight=layer3,
@@ -3876,24 +3880,31 @@ A fast and simple algorithm for training neural probabilistic language models.
参数:
- name (basestring) – The name of this layer. It is optional.
-- input (paddle.v2.config_base.Layer | list | tuple | collections.Sequence) – The input layers. It could be a paddle.v2.config_base.Layer of list/tuple of paddle.v2.config_base.Layer.
-- label (paddle.v2.config_base.Layer) – label layer
-- weight (paddle.v2.config_base.Layer) – weight layer, can be None(default)
-- num_classes (int) – number of classes.
-- act (paddle.v2.activation.Base) – Activation type. paddle.v2.activation.Sigmoid is the default.
-- param_attr (paddle.v2.attr.ParameterAttribute) – The Parameter Attribute|list.
-- num_neg_samples (int) – number of negative samples. Default is 10.
-- neg_distribution (list | tuple | collections.Sequence | None) – The distribution for generating the random negative labels.
-A uniform distribution will be used if not provided.
-If not None, its length must be equal to num_classes.
-- bias_attr (paddle.v2.attr.ParameterAttribute | None | bool | Any) – The bias attribute. If the parameter is set to False or an object
-whose type is not paddle.v2.attr.ParameterAttribute, no bias is defined. If the
-parameter is set to True, the bias is initialized to zero.
+- input (paddle.v2.config_base.Layer | list | tuple | collections.Sequence) – The input layers. It should be a paddle.v2.config_base.Layer or a list/tuple
+of paddle.v2.config_base.Layer.
+- label (paddle.v2.config_base.Layer) – The ground truth.
+- weight (paddle.v2.config_base.Layer) – The weight layer defines a weight for each sample in the
+mini-batch. The default value is None.
+- num_classes (int) – The class number.
+- param_attr (paddle.v2.attr.ParameterAttribute|list) – The parameter attributes.
+- num_neg_samples (int) – The number of sampled negative labels. The default
+value is 10.
+- neg_distribution (list | tuple | collections.Sequence | None) – The discrete noisy distribution over the output
+space from which num_neg_samples negative labels
+are sampled. If this parameter is not set, a
+uniform distribution will be used. A user defined
+distribution is a list whose length must be equal
+to the num_classes. Each member of the list defines
+the probability of a class given input x.
+- bias_attr (paddle.v2.attr.ParameterAttribute | None | bool | Any) – The attribute for bias. If this parameter is set False or
+any object whose type is not paddle.v2.attr.ParameterAttribute, no bias
+is added. If this parameter is set True, the bias is
+initialized to zero.
- layer_attr (paddle.v2.attr.ExtraAttribute) – Extra Layer Attribute.
-返回: layer name.
+返回: The paddle.v2.config_base.Layer object.
返回类型: paddle.v2.config_base.Layer
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index c3efb53b7004d6a8f85df16db1ad7ba17a6c7dfd..148433ba6e817ca54ad9b4f7a5f049f5f9342a48 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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