diff --git a/examples/notebooks/TextCNN.ipynb b/examples/notebooks/TextCNN.ipynb
index 05b0d662b43..887114f146e 100644
--- a/examples/notebooks/TextCNN.ipynb
+++ b/examples/notebooks/TextCNN.ipynb
@@ -426,7 +426,7 @@
     "batch_size = 8  # A batch size of 8\n",
     "\n",
     "def create_iterators(batch_size=8):\n",
-    "    \"\"\"Heler function to create the iterators\"\"\"\n",
+    "    \"\"\"Helper function to create the iterators\"\"\"\n",
     "    dataloaders = []\n",
     "    for split in [train_list, validation_list, test_list]:\n",
     "        dataloader = DataLoader(\n",
@@ -695,7 +695,7 @@
     "Similar to the training process function, we set up a function to evaluate a single batch. Here is what the eval_function does:\n",
     "\n",
     "* Sets model in eval mode.\n",
-    "* With torch.no_grad(), no gradients are calculated for any succeding steps.\n",
+    "* With torch.no_grad(), no gradients are calculated for any succeeding steps.\n",
     "* Generates x and y from batch.\n",
     "* Performs a forward pass on the model to calculate y_pred based on model and x.\n",
     "* Returns y_pred and y.\n",
@@ -1002,4 +1002,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
\ No newline at end of file
+}