update

tutorial-contents/403_RNN_regressor.py

@@ -45,7 +45,7 @@ class RNN(nn.Module):
     def forward(self, x, h_state):
         # x (batch, time_step, input_size)
         # h_state (n_layers, batch, hidden_size)
-        # r_out (batch, time_step, output_size)
+        # r_out (batch, time_step, hidden_size)
         r_out, h_state = self.rnn(x, h_state)
 
         outs = []    # save all predictions