minor copy edit

Author: cezannec

transfer-learning/Transfer_Learning_Exercise.ipynb

@@ -77,7 +77,7 @@
    "source": [
     "## Load and Transform our Data\n",
     "\n",
-    "We'll be using PyTorch's [ImageFolder](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder) class which makes is very easy to load data from a directory. For example, the training images are all stored in a directory path that looks like this:\n",
+    "We'll be using PyTorch's [ImageFolder](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder) class which makes it very easy to load data from a directory. For example, the training images are all stored in a directory path that looks like this:\n",
     "```\n",
     "root/class_1/xxx.png\n",
     "root/class_1/xxy.png\n",
@@ -269,8 +269,7 @@
    },
    "outputs": [],
    "source": [
-    "import torch.nn as nn",
-    "## TODO: add a last linear layer  that maps n_inputs -> 5 flower classes\n",
+    "import torch.nn as nn## TODO: add a last linear layer  that maps n_inputs -> 5 flower classes\n",
     "## new layers automatically have requires_grad = True\n",
     "\n",
     "\n",

transfer-learning/Transfer_Learning_Solution.ipynb

@@ -83,7 +83,7 @@
    "source": [
     "## Load and Transform our Data\n",
     "\n",
-    "We'll be using PyTorch's [ImageFolder](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder) class which makes is very easy to load data from a directory. For example, the training images are all stored in a directory path that looks like this:\n",
+    "We'll be using PyTorch's [ImageFolder](https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder) class which makes it very easy to load data from a directory. For example, the training images are all stored in a directory path that looks like this:\n",
     "```\n",
     "root/class_1/xxx.png\n",
     "root/class_1/xxy.png\n",