diff --git a/beginner_source/transfer_learning_tutorial.py b/beginner_source/transfer_learning_tutorial.py
index 4639f65a7eb..5f921b90c52 100644
--- a/beginner_source/transfer_learning_tutorial.py
+++ b/beginner_source/transfer_learning_tutorial.py
@@ -288,7 +288,7 @@ def visualize_model(model, num_images=6):
 # ----------------------------------
 #
 # Here, we need to freeze all the network except the final layer. We need
-# to set ``requires_grad == False`` to freeze the parameters so that the
+# to set ``requires_grad = False`` to freeze the parameters so that the
 # gradients are not computed in ``backward()``.
 #
 # You can read more about this in the documentation