diff --git a/tutorial-contents/403_RNN_regressor.py b/tutorial-contents/403_RNN_regressor.py
index c8b19ca..2010ded 100644
--- a/tutorial-contents/403_RNN_regressor.py
+++ b/tutorial-contents/403_RNN_regressor.py
@@ -55,7 +55,13 @@ class RNN(nn.Module):
         # instead, for simplicity, you can replace above codes by follows
         # r_out = r_out.view(-1, 32)
         # outs = self.out(r_out)
+        # outs = outs.view(-1, TIME_STEP, 1)
         # return outs, h_state
+        
+        # or even simpler, since nn.Linear can accept inputs of any dimension 
+        # and returns outputs with same dimension except for the last
+        # outs = self.out(r_out)
+        # return outs
 
 rnn = RNN()
 print(rnn)