cost = nce(input=layer1, label=layer2, weight=layer3,
+cost = nce(input=[layer1, layer2], label=layer2,
+ param_attr=[attr1, attr2], weight=layer3,
num_classes=3, neg_distribution=[0.1,0.3,0.6])
@@ -3320,6 +3321,7 @@ A fast and simple algorithm for training neural probabilistic language models.
weight (paddle.v2.config_base.Layer) – weight layer, can be None(default)
num_classes (int) – number of classes.
act (paddle.v2.Activation.Base) – Activation, default is Sigmoid.
+
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.
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index 3092605437..65696af489 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
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diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html
index 83d9266365..2ec7b3d3fc 100644
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -3312,7 +3312,8 @@ should be consistent as that used in your labels.
Implements the method in the following paper:
A fast and simple algorithm for training neural probabilistic language models.
The example usage is:
-
cost = nce(input=layer1, label=layer2, weight=layer3,
+cost = nce(input=[layer1, layer2], label=layer2,
+ param_attr=[attr1, attr2], weight=layer3,
num_classes=3, neg_distribution=[0.1,0.3,0.6])
@@ -3327,6 +3328,7 @@ A fast and simple algorithm for training neural probabilistic language models.
weight (paddle.v2.config_base.Layer) – weight layer, can be None(default)
num_classes (int) – number of classes.
act (paddle.v2.Activation.Base) – Activation, default is Sigmoid.
+
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.
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index 9d7e5ad9b7..b61edf879b 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
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