diff --git a/12-regularization.ipynb b/12-regularization.ipynb
index 7e9215ade..55fb0e97f 100644
--- a/12-regularization.ipynb
+++ b/12-regularization.ipynb
@@ -27,6 +27,16 @@
     "       ...]```"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install old version of torchtext\n",
+    "# %pip install cmp_version torchtext==0.6.0"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -37,7 +47,7 @@
     "import matplotlib.pyplot as plt\n",
     "%matplotlib inline\n",
     "\n",
-    "# Checnking for module version \n",
+    "# Checking for module version \n",
     "from cmp_version import cmp_version \n",
     "\n",
     "# PyTorch imports\n",
@@ -173,7 +183,7 @@
    "source": [
     "# Print most common vocabulary text\n",
     "most_common_samples = 10\n",
-    "print(text.vocab.freqs.most_common(most_common_samples))"
+    "print(*text.vocab.freqs.most_common(most_common_samples), sep='\\n')"
    ]
   },
   {
@@ -242,7 +252,12 @@
    "outputs": [],
    "source": [
     "# Check if iterator above is an iterable which should show True\n",
-    "isinstance(train_loader, collections.Iterable)"
+    "try:\n",
+    "    from collections.abc import Iterable  # noqa\n",
+    "except ImportError:\n",
+    "    from collections import Iterable  # noqa\n",
+    "\n",
+    "isinstance(train_loader, Iterable)"
    ]
   },
   {
@@ -381,7 +396,7 @@
     "        out = torch.relu(out)\n",
     "        \n",
     "        # Toggle 3: Dropout\n",
-    "        # out = torch.dropout(out, 0.8)\n",
+    "        out = torch.dropout(out, 0.8, train=True)\n",
     "\n",
     "        # Linear function (readout)\n",
     "        # Take note here use a final sigmoid function so your loss should not go through sigmoid again.\n",
@@ -608,27 +623,22 @@
     "    weights_nothing.reshape(-1),\n",
     "    weights_L1.reshape(-1),\n",
     "    weights_L2.reshape(-1),\n",
+    "    weights_dropout.reshape(-1),\n",
     "), 49, range=(-.5, .5), label=(\n",
     "    'No-reg',\n",
     "    'L1',\n",
     "    'L2',\n",
+    "    'Dropout'\n",
     "))\n",
     "plt.legend();"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:dl-minicourse] *",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-env-dl-minicourse-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -640,7 +650,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,