diff --git a/tutorials/02-intermediate/convolutional_neural_network/main.py b/tutorials/02-intermediate/convolutional_neural_network/main.py
index ec904f1f..ef0a200e 100644
--- a/tutorials/02-intermediate/convolutional_neural_network/main.py
+++ b/tutorials/02-intermediate/convolutional_neural_network/main.py
@@ -37,13 +37,13 @@ class ConvNet(nn.Module):
     def __init__(self, num_classes=10):
         super(ConvNet, self).__init__()
         self.layer1 = nn.Sequential(
-            nn.Conv2d(1, 16, kernel_size=5, stride=1, padding=2),
+            nn.Conv2d(in_channels=1, out_channels=16, kernel_size=5, stride=1, padding=2),
             nn.BatchNorm2d(16),
             nn.ReLU(),
             nn.MaxPool2d(kernel_size=2, stride=2))
         self.layer2 = nn.Sequential(
-            nn.Conv2d(16, 32, kernel_size=5, stride=1, padding=2),
-            nn.BatchNorm2d(32),
+            nn.Conv2d(in_channels=16, out_channels=32, kernel_size=5, stride=1, padding=2),
+            nn.BatchNorm2d(num_features=32),
             nn.ReLU(),
             nn.MaxPool2d(kernel_size=2, stride=2))
         self.fc = nn.Linear(7*7*32, num_classes)
@@ -97,4 +97,4 @@ def forward(self, x):
     print('Test Accuracy of the model on the 10000 test images: {} %'.format(100 * correct / total))
 
 # Save the model checkpoint
-torch.save(model.state_dict(), 'model.ckpt')
\ No newline at end of file
+torch.save(model.state_dict(), 'model.ckpt')