diff --git a/examples/imdb_bidirectional_lstm.py b/examples/imdb_bidirectional_lstm.py
index 771a826b1..bbd163fa6 100644
--- a/examples/imdb_bidirectional_lstm.py
+++ b/examples/imdb_bidirectional_lstm.py
@@ -55,7 +55,7 @@ model.add_node(Dense(1, activation='sigmoid'), name='sigmoid', input='dropout')
 model.add_output(name='output', input='sigmoid')
 
 # try using different optimizers and different optimizer configs
-model.compile('adam',{'output':'binary_crossentropy'})
+model.compile('adam', {'output':'binary_crossentropy'})
 
 print("Train...")
 model.fit({'input':X_train, 'output':y_train}, batch_size=batch_size, nb_epoch=4)
diff --git a/keras/layers/recurrent.py b/keras/layers/recurrent.py
index db286018b..2cf5d4a0c 100644
--- a/keras/layers/recurrent.py
+++ b/keras/layers/recurrent.py
@@ -125,7 +125,8 @@ class SimpleRNN(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(SimpleRNN, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -224,7 +225,8 @@ class SimpleDeepRNN(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(SimpleDeepRNN, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -339,7 +341,8 @@ class GRU(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(GRU, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -472,7 +475,8 @@ class LSTM(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(LSTM, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -591,7 +595,8 @@ class JZS1(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(JZS1, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -712,7 +717,8 @@ class JZS2(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(JZS2, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))
 
@@ -825,6 +831,7 @@ class JZS3(Recurrent):
                   "truncate_gradient": self.truncate_gradient,
                   "return_sequences": self.return_sequences,
                   "input_dim": self.input_dim,
-                  "input_length": self.input_length}
+                  "input_length": self.input_length,
+                  "go_backwards": self.go_backwards}
         base_config = super(JZS3, self).get_config()
         return dict(list(base_config.items()) + list(config.items()))