diff --git a/sentiment-rnn/Sentiment_RNN_Exercise.ipynb b/sentiment-rnn/Sentiment_RNN_Exercise.ipynb
index 65b15579d7..6f179fdc7c 100644
--- a/sentiment-rnn/Sentiment_RNN_Exercise.ipynb
+++ b/sentiment-rnn/Sentiment_RNN_Exercise.ipynb
@@ -463,7 +463,7 @@
     "\n",
     "We'll create an [LSTM](https://pytorch.org/docs/stable/nn.html#lstm) to use in our recurrent network, which takes in an input_size, a hidden_dim, a number of layers, a dropout probability (for dropout between multiple layers), and a batch_first parameter.\n",
     "\n",
-    "Most of the time, you're network will have better performance with more layers; between 2-3. Adding more layers allows the network to learn really complex relationships. \n",
+    "Most of the time, your network will have better performance with more layers; between 2-3. Adding more layers allows the network to learn really complex relationships. \n",
     "\n",
     "> **Exercise:** Complete the `__init__`, `forward`, and `init_hidden` functions for the SentimentRNN model class.\n",
     "\n",