Amelie = Adelie

racheltienng · Mar 9, 2021 · 614a3f2 · 614a3f2
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/03 - Classification.ipynb b/03 - Classification.ipynb
@@ -688,7 +688,7 @@
    },
    "outputs": [],
    "source": [
-    "penguin_classes = ['Amelie', 'Gentoo', 'Chinstrap']\n",
+    "penguin_classes = ['Adelie', 'Gentoo', 'Chinstrap']\n",
     "print(sample.columns[0:5].values, 'SpeciesName')\n",
     "for index, row in penguins.sample(10).iterrows():\n",
     "    print('[',row[0], row[1], row[2], row[3], int(row[4]),']',penguin_classes[int(row[4])])"
@@ -1204,4 +1204,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
diff --git a/05a - Deep Neural Networks (PyTorch).ipynb b/05a - Deep Neural Networks (PyTorch).ipynb
@@ -65,7 +65,7 @@
    },
    "outputs": [],
    "source": [
-    "penguin_classes = ['Amelie', 'Gentoo', 'Chinstrap']\n",
+    "penguin_classes = ['Adelie', 'Gentoo', 'Chinstrap']\n",
     "print(sample.columns[0:5].values, 'SpeciesName')\n",
     "for index, row in penguins.sample(10).iterrows():\n",
     "    print('[',row[0], row[1], row[2],row[3], int(row[4]), ']',penguin_classes[int(row[-1])])"
@@ -109,7 +109,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The *features* are the measurements for each penguin observation, and the *label* is a numeric value that indicates the species of penguin that the observation represents (Amelie, Gentoo, or Chinstrap).\n",
+    "The *features* are the measurements for each penguin observation, and the *label* is a numeric value that indicates the species of penguin that the observation represents (Adelie, Gentoo, or Chinstrap).\n",
     "\n",
     "## Install and import the PyTorch libraries\n",
     "\n",

diff --git a/05a - Deep Neural Networks (TensorFlow).ipynb b/05a - Deep Neural Networks (TensorFlow).ipynb
@@ -65,7 +65,7 @@
    },
    "outputs": [],
    "source": [
-    "penguin_classes = ['Amelie', 'Gentoo', 'Chinstrap']\n",
+    "penguin_classes = ['Adelie', 'Gentoo', 'Chinstrap']\n",
     "print(sample.columns[0:5].values, 'SpeciesName')\n",
     "for index, row in penguins.sample(10).iterrows():\n",
     "    print('[',row[0], row[1], row[2],row[3], int(row[4]), ']',penguin_classes[int(row[-1])])"
@@ -109,7 +109,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The *features* are the measurements for each penguin observation, and the *label* is a numeric value that indicates the species of penguin that the observation represents (Amelie, Gentoo, or Chinstrap).\n",
+    "The *features* are the measurements for each penguin observation, and the *label* is a numeric value that indicates the species of penguin that the observation represents (Adelie, Gentoo, or Chinstrap).\n",
     "\n",
     "## Install and import TensorFlow libraries\n",
     "\n",