Fix Task 3 comment with more on PyTorch Tensors

Author: ma595

worked-solutions/01_penguin_classification_solutions.ipynb

@@ -321,7 +321,7 @@
    "source": [
     "* Can we give these items to a neural network, or do they need to be transformed first?\n",
     "  + Short answer: no, we can't just pass tuples of numbers or strings to a neural network.\n",
-    "    - We must represent these data as ``torch.Tensor``s. This is the fundamental data abstraction used by PyTorch. See [pytorch tensors documentation](https://pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html) . \n",
+    "    - We must represent these data as ``torch.Tensor``s. This is the fundamental data abstraction used by PyTorch; they are the PyTorch equivalent to Numpy arrays. See [pytorch tensors documentation](https://pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html) . \n",
     "    - The targets are tuples of strings i.e. ('Gentoo', )\n",
     "      - One idea is to represent as ordinal values i.e.  [1] or [2] or [3]. But this implies that the class encoded by value 1 is closer to 2 than 1 is to 3. This is not desirable for categorical data. One-hot encoding avoids this by representing each species independently.\\\n",
     "    \"A\" — [1, 0, 0]\\\n",