diff --git a/docs.it4i/software/machine-learning/tensorflow.md b/docs.it4i/software/machine-learning/tensorflow.md
index 8e7386269a8c778331b87eb40d1d45da22adc678..7a8cfb7d70154f087b754e0337dc0101945f1017 100644
--- a/docs.it4i/software/machine-learning/tensorflow.md
+++ b/docs.it4i/software/machine-learning/tensorflow.md
@@ -112,7 +112,7 @@ train_dataset = mnist_train.map(scale).cache().shuffle(BUFFER_SIZE).batch(BATCH_
 eval_dataset = mnist_test.map(scale).batch(BATCH_SIZE)
 
 # The following line makes sure that the model will run on multiple GPUs (if they are available)
-# Without `strategy.scopy()`, the model would only be trained on a single GPU
+# Without `strategy.scope()`, the model would only be trained on a single GPU
 with strategy.scope():
   model = tf.keras.Sequential([
       tf.keras.layers.Conv2D(32, 3, activation='relu', input_shape=(28, 28, 1)),