diff --git a/tutorials/source_en/quick_start/quick_start.md b/tutorials/source_en/quick_start/quick_start.md
index f0d1b7f6157eccf815b7e0c40c0556dccc328f5f..c14baceec3229dbd99a86e518a8e38b85ae83964 100644
--- a/tutorials/source_en/quick_start/quick_start.md
+++ b/tutorials/source_en/quick_start/quick_start.md
@@ -96,8 +96,8 @@ from mindspore import context
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description='MindSpore LeNet Example')
-    parser.add_argument('--device_target', type=str, default="Ascend", choices=['Ascend', 'GPU', 'CPU'],
-                        help='device where the code will be implemented (default: Ascend)')
+    parser.add_argument('--device_target', type=str, default="CPU", choices=['Ascend', 'GPU', 'CPU'],
+                        help='device where the code will be implemented (default: CPU)')
     args = parser.parse_args()
     context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target,
                         enable_mem_reuse=False)
@@ -235,7 +235,6 @@ class LeNet5(nn.Cell):
     #define the operator required
     def __init__(self):
         super(LeNet5, self).__init__()
-        self.batch_size = 32
         self.conv1 = conv(1, 6, 5)
         self.conv2 = conv(6, 16, 5)
         self.fc1 = fc_with_initialize(16 * 5 * 5, 120)
diff --git a/tutorials/source_zh_cn/quick_start/quick_start.md b/tutorials/source_zh_cn/quick_start/quick_start.md
index 5e4e93776a0c65f116036550fdebc445fd596341..605238850a856f7ddb8b052e48369e87ce0717ef 100644
--- a/tutorials/source_zh_cn/quick_start/quick_start.md
+++ b/tutorials/source_zh_cn/quick_start/quick_start.md
@@ -98,8 +98,8 @@ from mindspore import context
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description='MindSpore LeNet Example')
-    parser.add_argument('--device_target', type=str, default="Ascend", choices=['Ascend', 'GPU', 'CPU'],
-                        help='device where the code will be implemented (default: Ascend)')
+    parser.add_argument('--device_target', type=str, default="CPU", choices=['Ascend', 'GPU', 'CPU'],
+                        help='device where the code will be implemented (default: CPU)')
     args = parser.parse_args()
     context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target,
                         enable_mem_reuse=False)
@@ -235,7 +235,6 @@ class LeNet5(nn.Cell):
     #define the operator required
     def __init__(self):
         super(LeNet5, self).__init__()
-        self.batch_size = 32
         self.conv1 = conv(1, 6, 5)
         self.conv2 = conv(6, 16, 5)
         self.fc1 = fc_with_initialize(16 * 5 * 5, 120)
diff --git a/tutorials/tutorial_code/lenet.py b/tutorials/tutorial_code/lenet.py
index 5170e6c5114714d8be6e615b33d2f7752019eb37..797c63b9da9609ae5616c519e64af73692b8fdd6 100644
--- a/tutorials/tutorial_code/lenet.py
+++ b/tutorials/tutorial_code/lenet.py
@@ -143,7 +143,6 @@ class LeNet5(nn.Cell):
     # define the operator required
     def __init__(self):
         super(LeNet5, self).__init__()
-        self.batch_size = 32
         self.conv1 = conv(1, 6, 5)
         self.conv2 = conv(6, 16, 5)
         self.fc1 = fc_with_initialize(16 * 5 * 5, 120)
@@ -193,8 +192,8 @@ def test_net(args, network, model, mnist_path):
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description='MindSpore LeNet Example')
-    parser.add_argument('--device_target', type=str, default="Ascend", choices=['Ascend', 'GPU', 'CPU'],
-                        help='device where the code will be implemented (default: Ascend)')
+    parser.add_argument('--device_target', type=str, default="CPU", choices=['Ascend', 'GPU', 'CPU'],
+                        help='device where the code will be implemented (default: CPU)')
     args = parser.parse_args()
     context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target,
                         enable_mem_reuse=False)