supplement another method

tutorial-contents/403_RNN_regressor.py

@@ -58,6 +58,11 @@ class RNN(nn.Module):
         # 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)