diff --git a/beginner_source/examples_nn/two_layer_net_optim.py b/beginner_source/examples_nn/two_layer_net_optim.py
index 95950b95729..82b67dcc1b0 100755
--- a/beginner_source/examples_nn/two_layer_net_optim.py
+++ b/beginner_source/examples_nn/two_layer_net_optim.py
@@ -33,7 +33,7 @@
 
 # Use the optim package to define an Optimizer that will update the weights of
 # the model for us. Here we will use Adam; the optim package contains many other
-# optimization algoriths. The first argument to the Adam constructor tells the
+# optimization algorithms. The first argument to the Adam constructor tells the
 # optimizer which Tensors it should update.
 learning_rate = 1e-4
 optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)