fixed two typos in chap11

11_midlevel_data.ipynb

@@ -961,7 +961,7 @@
    "source": [
     "If we didn't care about showing our objects at all, we could directly create one transform to completely preprocess that list of files. We will want to look at those images though, so we need to create a custom type. When you call the `show` method on a `TfmdLists` or a `Datasets` object, it will decode items until it reaches a type that contains a `show` method and use it to show the object. That `show` method gets passed a `ctx`, which could be a matplotlib axes for images, or the row of a dataframe for texts.\n",
     "\n",
-    "Here we create a `SiameseImage` object that subclasses `Tuple` and is intended to contain three things: two images, and a boolean that's `True` if they are the breed. We also implement the special `show` method, such that it concatenates the two images, with a black line in the middle. Don't worry too much about the part that is in the `if` test (which is to show the `SiameseImage` when the images are Pillow images, and not tensors), the important part is in the last three lines."
+    "Here we create a `SiameseImage` object that subclasses `Tuple` and is intended to contain three things: two images, and a boolean that's `True` if they are the same breed. We also implement the special `show` method, such that it concatenates the two images, with a black line in the middle. Don't worry too much about the part that is in the `if` test (which is to show the `SiameseImage` when the images are Pillow images, and not tensors), the important part is in the last three lines."
    ]
   },
   {
@@ -1193,7 +1193,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And we can finally get our data in `DataLoaders` by calling the `dataloaders` method. One thing to be careful here is that this method does not take `item_tfms` and `batch_tfms` like a `DataBlock`. The fastai `DataLoader` has several hooks that are named after events: here what we apply on the items after they are grabbed is called `after_item`, and what we apply on the batch once it's buils is called `after_batch`."
+    "And we can finally get our data in `DataLoaders` by calling the `dataloaders` method. One thing to be careful here is that this method does not take `item_tfms` and `batch_tfms` like a `DataBlock`. The fastai `DataLoader` has several hooks that are named after events: here what we apply on the items after they are grabbed is called `after_item`, and what we apply on the batch once it's built is called `after_batch`."
    ]
   },
   {
@@ -1261,6 +1261,18 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,