Updates to Deep Learning

NthabisengMoela · Aug 19, 2020 · 502c826 · 502c826
1 parent 3101be8
commit 502c826
Show file tree

Hide file tree

Showing 2 changed files with 0 additions and 6 deletions.
diff --git a/05a - Deep Neural Networks (PyTorch).ipynb b/05a - Deep Neural Networks (PyTorch).ipynb
@@ -36,9 +36,6 @@
         "# load the training dataset (excluding rows with null values)\n",
         "penguins = pd.read_csv('data/penguins.csv').dropna()\n",
         "\n",
-        "# We only need the culmen measurements and species\n",
-        "penguins = penguins[['CulmenLength','CulmenDepth','FlipperLength','BodyMass','Species']]\n",
-        "\n",
         "# Deep Learning models work best when features are on similar scales\n",
         "# In a real solution, we'd implement some custom normalization for each feature, but to keep things simple\n",
         "# we'll just rescale the FlipperLength and BodyMass so they're on a similar scale to the bill measurements\n",

diff --git a/05a - Deep Neural Networks (TensorFlow).ipynb b/05a - Deep Neural Networks (TensorFlow).ipynb
@@ -36,9 +36,6 @@
         "# load the training dataset (excluding rows with null values)\n",
         "penguins = pd.read_csv('data/penguins.csv').dropna()\n",
         "\n",
-        "# We only need the culmen measurements and species\n",
-        "penguins = penguins[['CulmenLength','CulmenDepth','FlipperLength','BodyMass','Species']]\n",
-        "\n",
         "# Deep Learning models work best when features are on similar scales\n",
         "# In a real solution, we'd implement some custom normalization for each feature, but to keep things simple\n",
         "# we'll just rescale the FlipperLength and BodyMass so they're on a similar scale to the bill measurements\n",