diff --git a/12_1_rnn_basics.py b/12_1_rnn_basics.py
index fc39d3f..d26ceb0 100644
--- a/12_1_rnn_basics.py
+++ b/12_1_rnn_basics.py
@@ -12,7 +12,7 @@
 cell = nn.RNN(input_size=4, hidden_size=2, batch_first=True)
 
 # (num_layers * num_directions, batch, hidden_size) whether batch_first=True or False
-hidden = (Variable(torch.randn(1, 1, 2)))
+hidden = Variable(torch.randn(1, 1, 2))
 
 # Propagate input through RNN
 # Input: (batch, seq_len, input_size) when batch_first=True