diff --git a/2.1-a-first-look-at-a-neural-network.ipynb b/2.1-a-first-look-at-a-neural-network.ipynb
index 87e54b3253..8c6357ad50 100644
--- a/2.1-a-first-look-at-a-neural-network.ipynb
+++ b/2.1-a-first-look-at-a-neural-network.ipynb
@@ -254,7 +254,7 @@
     "\n",
     "To make our network ready for training, we need to pick three more things, as part of \"compilation\" step:\n",
     "\n",
-    "* A loss function: the is how the network will be able to measure how good a job it is doing on its training data, and thus how it will be \n",
+    "* A loss function: this is how the network will be able to measure how good a job it is doing on its training data, and thus how it will be \n",
     "able to steer itself in the right direction.\n",
     "* An optimizer: this is the mechanism through which the network will update itself based on the data it sees and its loss function.\n",
     "* Metrics to monitor during training and testing. Here we will only care about accuracy (the fraction of the images that were correctly \n",