diff --git a/fluid/text_classification/clouds/scdb_parallel_executor.py b/fluid/text_classification/clouds/scdb_parallel_executor.py
index b2531c8b8c5800d8e25b3231277e5a021b8ab688..042f02b53fc1ba9d29563a91d7da3643790a22e9 100644
--- a/fluid/text_classification/clouds/scdb_parallel_executor.py
+++ b/fluid/text_classification/clouds/scdb_parallel_executor.py
@@ -238,7 +238,7 @@ def lstm_net(data,
         size=[dict_dim, emb_dim],
         param_attr=fluid.ParamAttr(learning_rate=emb_lr))
 
-    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
     lstm_h, c = fluid.layers.dynamic_lstm(
         input=fc0, size=hid_dim * 4, is_reverse=False)
@@ -273,9 +273,9 @@ def bilstm_net(data,
         size=[dict_dim, emb_dim],
         param_attr=fluid.ParamAttr(learning_rate=emb_lr))
 
-    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
-    rfc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    rfc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
     lstm_h, c = fluid.layers.dynamic_lstm(
         input=fc0, size=hid_dim * 4, is_reverse=False)
diff --git a/fluid/text_classification/clouds/scdb_single_card.py b/fluid/text_classification/clouds/scdb_single_card.py
index 03bed2de3498f0bc4ff14590b47de5eeb1972579..490c4f3791c1566cc67951f5098cbef8ab171b59 100644
--- a/fluid/text_classification/clouds/scdb_single_card.py
+++ b/fluid/text_classification/clouds/scdb_single_card.py
@@ -238,7 +238,7 @@ def lstm_net(data,
         size=[dict_dim, emb_dim],
         param_attr=fluid.ParamAttr(learning_rate=emb_lr))
 
-    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
     lstm_h, c = fluid.layers.dynamic_lstm(
         input=fc0, size=hid_dim * 4, is_reverse=False)
@@ -273,9 +273,9 @@ def bilstm_net(data,
         size=[dict_dim, emb_dim],
         param_attr=fluid.ParamAttr(learning_rate=emb_lr))
 
-    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
-    rfc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    rfc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
     lstm_h, c = fluid.layers.dynamic_lstm(
         input=fc0, size=hid_dim * 4, is_reverse=False)
diff --git a/fluid/text_classification/nets.py b/fluid/text_classification/nets.py
index a21742d22d0bd1676c8c5874899af746b5225636..98028c871a83cafe6d1de7b545f333c4581e0a40 100644
--- a/fluid/text_classification/nets.py
+++ b/fluid/text_classification/nets.py
@@ -75,7 +75,7 @@ def lstm_net(data,
         size=[dict_dim, emb_dim],
         param_attr=fluid.ParamAttr(learning_rate=emb_lr))
 
-    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4, act='tanh')
+    fc0 = fluid.layers.fc(input=emb, size=hid_dim * 4)
 
     lstm_h, c = fluid.layers.dynamic_lstm(
         input=fc0, size=hid_dim * 4, is_reverse=False)