Update deep learning notebooks

Author: GraemeMalcolm

05a - Deep Neural Networks (PyTorch).ipynb

@@ -10,7 +10,7 @@
         "\n",
         "## Creating a Neural Network with PyTorch\n",
         "\n",
-        "PyTorch is a framework for creating machine learning models, including deep neural networks (DNNs). In this example, we'll use PyTorch to create a simple neural network that classifies penguins into species based on the length and depth of their culmen (bill).\n",
+        "PyTorch is a framework for creating machine learning models, including deep neural networks (DNNs). In this example, we'll use PyTorch to create a simple neural network that classifies penguins into species based on the length and depth of their culmen (bill), their flipper length, and their body mass.\n",
         "\n",
         "> **Citation**: The penguins dataset used in the this exercise is a subset of data collected and made available by [Dr. Kristen\n",
         "Gorman](https://www.uaf.edu/cfos/people/faculty/detail/kristen-gorman.php)\n",

05a - Deep Neural Networks (TensorFlow).ipynb

@@ -10,7 +10,7 @@
         "\n",
         "## Creating a Neural Network with Tensorflow\n",
         "\n",
-        "Tensorflow is a framework for creating machine learning models, including deep neural networks (DNNs). In this example, we'll use Tensorflow to create a simple neural network that classifies penguins into species based on the length and depth of their culmen (bill).\n",
+        "Tensorflow is a framework for creating machine learning models, including deep neural networks (DNNs). In this example, we'll use Tensorflow to create a simple neural network that classifies penguins into species based on the length and depth of their culmen (bill), their flipper length, and their body mass.\n",
         "\n",
         "> **Citation**: The penguins dataset used in the this exercise is a subset of data collected and made available by [Dr. Kristen\n",
         "Gorman](https://www.uaf.edu/cfos/people/faculty/detail/kristen-gorman.php)\n",