Update 03_pytorch_computer_vision_exercise_solutions.ipynb

This update modifies the initialization of the Accuracy function to explicitly specify the task parameter as 'multiclass'. The change enhances code clarity and ensures that the metric function operates correctly within the context of multiclass classification.

Author: Hrut7hesh

extras/solutions/03_pytorch_computer_vision_exercise_solutions.ipynb

@@ -3598,7 +3598,7 @@
         "from tqdm.auto import tqdm\n",
         "from torchmetrics import Accuracy\n",
         "\n",
-        "acc_fn = Accuracy(num_classes=len(fashion_mnist_class_names)).to(device) \n",
+        "acc_fn = Accuracy(task = 'multiclass', num_classes=len(fashion_mnist_class_names)).to(device) \n",
         "\n",
         "# Setup training/testing loop\n",
         "epochs = 5\n",