diff --git a/scene_text_recognition/infer.py b/scene_text_recognition/infer.py
index c572f5001adbaa15c5febdf2ae528fd647b66378..64bc4ddeb38be3bb2e24da69311b49d72987f6d7 100644
--- a/scene_text_recognition/infer.py
+++ b/scene_text_recognition/infer.py
@@ -2,7 +2,7 @@ import click
 import gzip
 
 import paddle.v2 as paddle
-from model import Model
+from network_conf import Model
 from reader import DataGenerator
 from decoder import ctc_greedy_decoder
 from utils import get_file_list, load_dict, load_reverse_dict
diff --git a/scene_text_recognition/model.py b/scene_text_recognition/network_conf.py
similarity index 94%
rename from scene_text_recognition/model.py
rename to scene_text_recognition/network_conf.py
index 4fb297a503af74aeadb14f1654e0f6a0e094bbff..bd92bae8737b428d7494229c7137ae2b164022ab 100644
--- a/scene_text_recognition/model.py
+++ b/scene_text_recognition/network_conf.py
@@ -13,7 +13,8 @@ class Model(object):
         :type num_classes: int
         :param shape: The size of the input images.
         :type shape: tuple of 2 int
-        :param is_infer: For inference or not
+        :param is_infer: The boolean parameter indicating
+                         inferring or training.
         :type shape: bool
         '''
         self.num_classes = num_classes
@@ -90,11 +91,13 @@ class Model(object):
 
     def conv_groups(self, input, num, with_bn):
         '''
+        Get the image features with image convolution group.
+
         :param input: Input layer.
         :type input: LayerOutput
         :param num: Number of the filters.
         :type num: int
-        :param with_bn: Whether with batch normalization.
+        :param with_bn: Use batch normalization or not.
         :type with_bn: bool
         '''
         assert num % 4 == 0
diff --git a/scene_text_recognition/train.py b/scene_text_recognition/train.py
index 4497bee813615be9bfe3ad94a9c9eea918dcc2a4..79eccc0b29582ad09c5efc4d950197f9ea44baef 100644
--- a/scene_text_recognition/train.py
+++ b/scene_text_recognition/train.py
@@ -4,7 +4,7 @@ import click
 
 import paddle.v2 as paddle
 from config import TrainerConfig as conf
-from model import Model
+from network_conf import Model
 from reader import DataGenerator
 from utils import get_file_list, build_label_dict, load_dict