fix broken link

Author: abhiojha8

project-dog-classification/dog_app.ipynb

@@ -269,7 +269,7 @@
     "\n",
     "In the next code cell, you will write a function that accepts a path to an image (such as `'dogImages/train/001.Affenpinscher/Affenpinscher_00001.jpg'`) as input and returns the index corresponding to the ImageNet class that is predicted by the pre-trained VGG-16 model.  The output should always be an integer between 0 and 999, inclusive.\n",
     "\n",
-    "Before writing the function, make sure that you take the time to learn  how to appropriately pre-process tensors for pre-trained models in the [PyTorch documentation](http://pytorch.org/docs/stable/torchvision/models.html)."
+    "Before writing the function, make sure that you take the time to learn  how to appropriately pre-process tensors for pre-trained models in the [PyTorch documentation](https://pytorch.org/vision/stable/models.html)."
    ]
   },
   {
@@ -550,9 +550,10 @@
    "outputs": [],
    "source": [
     "# the following import is required for training to be robust to truncated images\n",
-	"from PIL import ImageFile\n",
-	"ImageFile.LOAD_TRUNCATED_IMAGES = True\n\n",
-	"def train(n_epochs, loaders, model, optimizer, criterion, use_cuda, save_path):\n",
+    "from PIL import ImageFile\n",
+    "ImageFile.LOAD_TRUNCATED_IMAGES = True\n",
+    "\n",
+    "def train(n_epochs, loaders, model, optimizer, criterion, use_cuda, save_path):\n",
     "    \"\"\"returns trained model\"\"\"\n",
     "    # initialize tracker for minimum validation loss\n",
     "    valid_loss_min = np.Inf \n",
@@ -921,4 +922,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}