diff --git a/develop/doc/api/v1/trainer_config_helpers/layers.html b/develop/doc/api/v1/trainer_config_helpers/layers.html
index 73a36aae31ca1f603adcab478eaf9b65ceb81557..989dee056d66090c54770713b4b925ba2f6dc8eb 100644
--- a/develop/doc/api/v1/trainer_config_helpers/layers.html
+++ b/develop/doc/api/v1/trainer_config_helpers/layers.html
@@ -3488,6 +3488,7 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <li><strong>label</strong> (<em>LayerOutput</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>LayerOutput</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; Activation, default is Sigmoid.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
 <li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.
diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html
index be00e43bbfb6a559f1ccd0ed69ebe08293b47c27..65c26eb16bada9244a9561423da37da86c9f07c1 100644
--- a/develop/doc/api/v2/config/layer.html
+++ b/develop/doc/api/v2/config/layer.html
@@ -4140,6 +4140,7 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
+<li><strong>act</strong> (<em>paddle.v2.Activation.Base</em>) &#8211; Activation, default is Sigmoid.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
 <li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.
diff --git a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html
index b549631786cd8f2ac92b7e122e02268e2e5d51c7..8108ce920c3b382f509facd8323d5d8aced8dfa7 100644
--- a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html
+++ b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html
@@ -3495,6 +3495,7 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <li><strong>label</strong> (<em>LayerOutput</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>LayerOutput</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
+<li><strong>act</strong> (<em>BaseActivation</em>) &#8211; Activation, default is Sigmoid.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
 <li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.
diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html
index a43dff00170fe604440ecd925c1a1212986bb478..0ee55275501115283365a2c3e2779d6ad7c62995 100644
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -4147,6 +4147,7 @@ A fast and simple algorithm for training neural probabilistic language models.</
 <li><strong>label</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; label layer</li>
 <li><strong>weight</strong> (<em>paddle.v2.config_base.Layer</em>) &#8211; weight layer, can be None(default)</li>
 <li><strong>num_classes</strong> (<em>int</em>) &#8211; number of classes.</li>
+<li><strong>act</strong> (<em>paddle.v2.Activation.Base</em>) &#8211; Activation, default is Sigmoid.</li>
 <li><strong>num_neg_samples</strong> (<em>int</em>) &#8211; number of negative samples. Default is 10.</li>
 <li><strong>neg_distribution</strong> (<em>list|tuple|collections.Sequence|None</em>) &#8211; The distribution for generating the random negative labels.
 A uniform distribution will be used if not provided.