diff --git a/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb b/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
index 4d9baee..6084ad4 100644
--- a/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
+++ b/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyN1qtywBuyezaVMnc9MI7x2",
+      "authorship_tag": "ABX9TyNJodaaCLMRWL9vTl8B/iLI",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -188,9 +188,9 @@
         "scheduler = StepLR(optimizer, step_size=20, gamma=0.5)\n",
         "# create 100 dummy data points and store in data loader class\n",
         "x_train = torch.tensor(train_data_x.transpose().astype('float32'))\n",
-        "y_train = torch.tensor(train_data_y.astype('long'))\n",
+        "y_train = torch.tensor(train_data_y.astype('long')).long()\n",
         "x_val= torch.tensor(val_data_x.transpose().astype('float32'))\n",
-        "y_val = torch.tensor(val_data_y.astype('long'))\n",
+        "y_val = torch.tensor(val_data_y.astype('long')).long()\n",
         "\n",
         "# load the data into a class that creates the batches\n",
         "data_loader = DataLoader(TensorDataset(x_train,y_train), batch_size=100, shuffle=True, worker_init_fn=np.random.seed(1))\n",