Minor edit to avoid confusion (pytorch#324)

Co-authored-by: holly1238 <[email protected]>

Author: tangchengcheng

beginner_source/blitz/neural_networks_tutorial.py

@@ -58,7 +58,7 @@ def __init__(self):
     def forward(self, x):
         # Max pooling over a (2, 2) window
         x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
-        # If the size is a square you can only specify a single number
+        # If the size is a square, you can specify with a single number
         x = F.max_pool2d(F.relu(self.conv2(x)), 2)
         x = x.view(-1, self.num_flat_features(x))
         x = F.relu(self.fc1(x))