diff --git a/tutorials/source_en/beginner/model.md b/tutorials/source_en/beginner/model.md
index c0407cecd9589f984f4a31fdbd1e805cb1551802..4fe7a02e8cdb00efcf6cfa4afe7d2403459409d9 100644
--- a/tutorials/source_en/beginner/model.md
+++ b/tutorials/source_en/beginner/model.md
@@ -75,14 +75,14 @@ print(model)
 
 ```text
 LeNet5<
-(conv1): Conv2d<input_channels=1, output_channels=6, kernel_size=(5, 5), stride=(1, 1), pad_mode=valid, padding=0, dilation=(1, 1), group=1, has_bias=False, weight_init=normal, bias_init=zeros, format=NCHW>
-(conv2): Conv2d<input_channels=6, output_channels=16, kernel_size=(5, 5), stride=(1, 1), pad_mode=valid, padding=0, dilation=(1, 1), group=1, has_bias=False, weight_init=normal, bias_init=zeros, format=NCHW>
-(fc1): Dense<input_channels=400, output_channels=120, has_bias=True>
-(fc2): Dense<input_channels=120, output_channels=84, has_bias=True>
-(fc3): Dense<input_channels=84, output_channels=10, has_bias=True>
-(relu): ReLU<>
-(max_pool2d): MaxPool2d<kernel_size=2, stride=2, pad_mode=VALID>
-(flatten): Flatten<>
+  (conv1): Conv2d<input_channels=1, output_channels=6, kernel_size=(5, 5), stride=(1, 1), pad_mode=valid, padding=0, dilation=(1, 1), group=1, has_bias=False, weight_init=normal, bias_init=zeros, format=NCHW>
+  (conv2): Conv2d<input_channels=6, output_channels=16, kernel_size=(5, 5), stride=(1, 1), pad_mode=valid, padding=0, dilation=(1, 1), group=1, has_bias=False, weight_init=normal, bias_init=zeros, format=NCHW>
+  (fc1): Dense<input_channels=400, output_channels=120, has_bias=True>
+  (fc2): Dense<input_channels=120, output_channels=84, has_bias=True>
+  (fc3): Dense<input_channels=84, output_channels=10, has_bias=True>
+  (relu): ReLU<>
+  (max_pool2d): MaxPool2d<kernel_size=2, stride=2, pad_mode=VALID>
+  (flatten): Flatten<>
 >
 ```
 
diff --git a/tutorials/source_zh_cn/beginner/infer.ipynb b/tutorials/source_zh_cn/beginner/infer.ipynb
index cb50920be9055e6b0b856d754b1ea1aa5e20bf05..7090081bcef0df6228a17884d458210eab264eaa 100644
--- a/tutorials/source_zh_cn/beginner/infer.ipynb
+++ b/tutorials/source_zh_cn/beginner/infer.ipynb
@@ -363,7 +363,7 @@
     "    # 图像通道由(h, w, c)转换为(c, h, w)\n",
     "    image = np.transpose(image, (2, 0, 1))\n",
     "\n",
-    "    # 扩展数据维数为(1，c, h, w)\n",
+    "    # 扩展数据维数为(1, c, h, w)\n",
     "    image = np.expand_dims(image, axis=0)\n",
     "\n",
     "    # 定义并加载网络\n",
@@ -560,4 +560,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
\ No newline at end of file