diff --git a/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb b/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
index ddf1f41e2..1506bfc4f 100644
--- a/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
+++ b/00-is-it-a-bird-creating-a-model-from-your-own-data.ipynb
@@ -472,7 +472,7 @@
    "source": [
     "Generally when I run this I see 100% accuracy on the validation set (although it might vary a bit from run to run).\n",
     "\n",
-    "\"Fine-tuning\" a model means that we're starting with a model someone else has trained using some other dataset (called the *pretrained model*), and adjusting the weights a little bit so that the model learns to recognise your particular dataset. In this case, the pretrained model was trained to recognise photos in *imagenet*, and widely-used computer vision dataset with images covering 1000 categories) For details on fine-tuning and why it's important, check out the [free fast.ai course](https://course.fast.ai/)."
+    "\"Fine-tuning\" a model means that we're starting with a model someone else has trained using some other dataset (called the *pretrained model*), and adjusting the weights a little bit so that the model learns to recognise your particular dataset. In this case, the pretrained model was trained to recognise photos in *imagenet*, an widely-used computer vision dataset with images covering 1000 categories) For details on fine-tuning and why it's important, check out the [free fast.ai course](https://course.fast.ai/)."
    ]
   },
   {