Add RNN Tutorial.

ISSUE=4589755

git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1442 1ad973e4-5ce8-4261-8a94-b56d1f490c56

demo/seqToseq/seqToseq_net.py

@@ -58,7 +58,7 @@ def seq_to_seq_data(data_dir,
                            args = {"src_dict": src_dict,
                                    "trg_dict": trg_dict})
 
-    return {"src_dict_path": src_lang_dict, "trg_dict_path": trg_lang_dict, 
+    return {"src_dict_path": src_lang_dict, "trg_dict_path": trg_lang_dict,
             "gen_result": gen_result}
 
 
@@ -88,11 +88,11 @@ def gru_encoder_decoder(data_conf,
     src_embedding = embedding_layer(
         input=src_word_id,
         size=word_vector_dim,
-        param_attr=ParamAttr(name='_source_language_embedding'), )
-    src_forward = simple_gru(input=src_embedding, size=encoder_size, )
+        param_attr=ParamAttr(name='_source_language_embedding'))
+    src_forward = simple_gru(input=src_embedding, size=encoder_size)
     src_backward = simple_gru(input=src_embedding,
                               size=encoder_size,
-                              reverse=True, )
+                              reverse=True)
     encoded_vector = concat_layer(input=[src_forward, src_backward])
 
     with mixed_layer(size=decoder_size) as encoded_proj:
@@ -147,7 +147,7 @@ def gru_encoder_decoder(data_conf,
                                                   is_seq=True),
                                       StaticInput(input=encoded_proj,
                                                   is_seq=True), trg_embedding
-                                  ], )
+                                  ])
 
         lbl = data_layer(name='target_language_next_word',
                          size=target_dict_dim)

doc/demo/index.md

@@ -21,4 +21,4 @@ There are serveral examples and demos here.
 * [Embedding: Chinese Word](embedding_model/index.md)
 
 ## Customization
-* [Writing New Layers](new_layer/index.md)
+* [Writing New Layers](new_layer/index.rst)

doc/ui/api/rnn/bi_lstm.jpg

@@ -0,0 +1 @@
+../../../demo/sentiment_analysis/bi_lstm.jpg

doc/ui/api/rnn/encoder-decoder-attention-model.png

@@ -0,0 +1 @@
+../../../demo/text_generation/encoder-decoder-attention-model.png

doc/ui/index.md

@@ -9,12 +9,13 @@
 
 * [PyDataProviderWrapper](api/py_data_provider_wrapper.rst)
 * [Trainer Config Helpers](api/trainer_config_helpers/index.md)
+* [Recurrent Neural Network Configuration](api/rnn/index.rst)
 
 ## Command Line Argument
 
 * [Use Case](cmd_argument/use_case.md)
 * [Argument Outline](cmd_argument/argument_outline.md)
-* [Detail Description](cmd_argument/detail_introduction.md)
+* [Detailed Descriptions of All Command Line Arguments](cmd_argument/detail_introduction.md)
 
 ## Predict