fix typos

09_pytorch_model_deployment.ipynb

@@ -1573,7 +1573,7 @@
     "2. Create an empty list to store prediction dictionaries (we want the function to return a list of dictionaries, one for each prediction).\n",
     "3. Loop through the target input paths (steps 4-14 will happen inside the loop).\n",
     "4. Create an empty dictionary for each iteration in the loop to store prediction values per sample.\n",
-    "5. Get the sample path and ground truth class name (we can do this by infering the class from the path).\n",
+    "5. Get the sample path and ground truth class name (we can do this by inferring the class from the path).\n",
     "6. Start the prediction timer using Python's [`timeit.default_timer()`](https://docs.python.org/3/library/timeit.html#timeit.default_timer).\n",
     "7. Open the image using [`PIL.Image.open(path)`](https://pillow.readthedocs.io/en/stable/reference/Image.html#functions).\n",
     "8. Transform the image so it's capable of being used with the target model as well as add a batch dimension and send the image to the target device.\n",
@@ -1611,7 +1611,7 @@
     "                   class_names: List[str], \n",
     "                   device: str = \"cuda\" if torch.cuda.is_available() else \"cpu\") -> List[Dict]:\n",
     "    \n",
-    "    # 2. Create an empty list to store prediction dictionaires\n",
+    "    # 2. Create an empty list to store prediction dictionaries\n",
     "    pred_list = []\n",
     "    \n",
     "    # 3. Loop through target paths\n",