diff --git a/docs/tutorials/federated_learning_for_image_classification.ipynb b/docs/tutorials/federated_learning_for_image_classification.ipynb
index 5b60c7fb85a0d9169ad32fe5da6f814ddc90bb0f..045a59005e6ec5b587c935cc87f0cf126eb22ffe 100644
--- a/docs/tutorials/federated_learning_for_image_classification.ipynb
+++ b/docs/tutorials/federated_learning_for_image_classification.ipynb
@@ -671,7 +671,7 @@
       },
       "source": [
         "Since the data is already a `tf.data.Dataset`,  preprocessing can be accomplished using Dataset transformations. Here, we flatten the `28x28` images\n",
-        "into `784`-element arrays, shuffle the individual examples, organize them into batches, and renames the features\n",
+        "into `784`-element arrays, shuffle the individual examples, organize them into batches, and rename the features\n",
         "from `pixels` and `label` to `x` and `y` for use with Keras. We also throw in a\n",
         "`repeat` over the data set to run several epochs."
       ]