update 03-03

book/03-03.ipynb

@@ -10,7 +10,7 @@
     "This chapter is an unfinished draft. I recommend skipping it for now since it is likely to change.\n",
     ":::\n",
     "\n",
-    "In the last chapter, you were introduced to loaders in nitrain. Loaders take in datasets and some extra parameters as input, then they generate batches of training-ready arrays. So far, we have only shown examples were full images were being served in batches. However, it is the case that we will want to train our models on only parts of images such as slices, blocks, or patches.\n",
+    "In the last chapter, you were introduced to loaders in nitrain. Loaders take in datasets and some extra parameters as input, then they generate batches of training-ready arrays. So far, we have only shown examples were full images were being served in batches. However, it is often the case that we will want to train our models on only parts of images such as slices, blocks, or patches.\n",
     "\n",
     "This is where samplers come in. Samplers are optionally passed into loaders and take in some optional parameters themselves to determine how the images will be sampled. This chapter will introduce you to the different types of samplers and how to use them."
    ]