diff --git a/01_intro.ipynb b/01_intro.ipynb
index f41af67..c7ade18 100644
--- a/01_intro.ipynb
+++ b/01_intro.ipynb
@@ -1742,7 +1742,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "An image recognizer can, as its name suggests, only recognize images. But a lot of things can be represented as images, which means that an image recogniser can learn to complete many tasks.\n",
+    "An image recognizer can, as its name suggests, only recognize images. But a lot of things can be represented as images, which means that an image recognizer can learn to complete many tasks.\n",
     "\n",
     "For instance, a sound can be converted to a spectrogram, which is a chart that shows the amount of each frequency at each time in an audio file. Fast.ai student Ethan Sutin used this approach to easily beat the published accuracy of a state-of-the-art [environmental sound detection model](https://medium.com/@etown/great-results-on-audio-classification-with-fastai-library-ccaf906c5f52) using a dataset of 8,732 urban sounds. fastai's `show_batch` clearly shows how each different sound has a quite distinctive spectrogram, as you can see in <<img_spect>>."
    ]