diff --git a/beginner_source/introyt/introyt1_tutorial.py b/beginner_source/introyt/introyt1_tutorial.py
index 801f8a21cf6..f52c3902c03 100644
--- a/beginner_source/introyt/introyt1_tutorial.py
+++ b/beginner_source/introyt/introyt1_tutorial.py
@@ -176,12 +176,12 @@ class LeNet(nn.Module):
 
     def __init__(self):
         super(LeNet, self).__init__()
-        # 1 input image channel (black & white), 6 output channels, 3x3 square convolution
+        # 1 input image channel (black & white), 6 output channels, 5x5 square convolution
         # kernel
-        self.conv1 = nn.Conv2d(1, 6, 3)
-        self.conv2 = nn.Conv2d(6, 16, 3)
+        self.conv1 = nn.Conv2d(1, 6, 5)
+        self.conv2 = nn.Conv2d(6, 16, 5)
         # an affine operation: y = Wx + b
-        self.fc1 = nn.Linear(16 * 6 * 6, 120)  # 6*6 from image dimension
+        self.fc1 = nn.Linear(16 * 5 * 5, 120)  # 5*5 from image dimension
         self.fc2 = nn.Linear(120, 84)
         self.fc3 = nn.Linear(84, 10)