Update plot_predictions.ipynb

3D/plot_predictions.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "In this notebook, we'll go through how to perform predictions on our 3D U-Net using both TensorFlow and OpenVINO™.  You should be able to see that OpenVINO™ inference gives a significant speedup to these predictions.\n",
     "\n",
-    "We'll assume that you already ran `train.py` and have trained a TensorFlow 3D U-Net model on the BraTS Medical Decathlon dataset.  We'll further assume that you have converted the final TensorFlow 3D U-Net model to OpenVINO by running something like:\n",
+    "We'll assume that you already ran `train.py` and have trained a TensorFlow 3D U-Net model on the BraTS Medical Decathlon dataset.  We'll further assume that you have converted the final TensorFlow 3D U-Net model to OpenVINO™ by running something like:\n",
     "\n",
     "```\n",
     "source /opt/intel/openvino/bin/setupvars.sh\n",