Update colab demo (#6652)

* Update colab demo

* fix typo

research/deeplab/deeplab_demo.ipynb

@@ -9,10 +9,10 @@
       "source": [
         "# Overview\n",
         "\n",
-        "This demo will demostrate the steps to use the DeepLab model to perform semantic segmentation on a sample input image. Expected outputs are semantic labels overlayed on the sample image.\n",
+        "This colab demonstrates the steps to use the DeepLab model to perform semantic segmentation on a sample input image. Expected outputs are semantic labels overlayed on the sample image.\n",
         "\n",
-        "### What is DeepLab\n",
-        "Models used in this colab perform semantic segmentation. Semantic segmentation models focus on assigning semantic labels (e.g. sky, person, car) to multiple objects and stuff in a single image."
+        "### About DeepLab\n",
+        "The models used in this colab perform semantic segmentation. Semantic segmentation models focus on assigning semantic labels, such as sky, person, or car, to multiple objects and stuff in a single image."
       ]
     },
     {
@@ -26,7 +26,7 @@
         "\u003ch3\u003e\u003ca href=\"https://cloud.google.com/tpu/\"\u003e\u003cimg valign=\"middle\" src=\"https://raw.githubusercontent.com/GoogleCloudPlatform/tensorflow-without-a-phd/master/tensorflow-rl-pong/images/tpu-hexagon.png\" width=\"50\"\u003e\u003c/a\u003e  \u0026nbsp;\u0026nbsp;Use a free TPU device\u003c/h3\u003e\n",
         "\n",
         "   1. On the main menu, click Runtime and select **Change runtime type**. Set \"TPU\" as the hardware accelerator.\n",
-        "   1. Click Runtime again and select **Runtime \u003e Run All** (Watch out: the \"Colab-only auth for this notebook and the TPU\" cell requires user input). You can also run the cells manually with Shift-ENTER."
+        "   1. Click Runtime again and select **Runtime \u003e Run All**. You can also run the cells manually with Shift-ENTER."
       ]
     },
     {
@@ -72,11 +72,11 @@
       },
       "source": [
         "## Import helper methods\n",
-        "These methods will help us perform the following tasks:\n",
+        "These methods help us perform the following tasks:\n",
         "* Load the latest version of the pretrained DeepLab model\n",
         "* Load the colormap from the PASCAL VOC dataset\n",
-        "* Adds colors to various labels (For example, \"pink\" for people, \"green\" for bicycle and more)\n",
-        "* Visualize an image, and add an overlay of colors on various regions."
+        "* Adds colors to various labels, such as \"pink\" for people, \"green\" for bicycle and more\n",
+        "* Visualize an image, and add an overlay of colors on various regions"
       ]
     },
     {
@@ -237,7 +237,7 @@
       },
       "source": [
         "## Select a pretrained model\n",
-        "We have trained the DeepLab model using various backbone networks that you can choose form."
+        "We have trained the DeepLab model using various backbone networks. Select one from the MODEL_NAME list."
       ]
     },
     {
@@ -290,9 +290,9 @@
         "Select one of sample images (leave `IMAGE_URL` empty) or feed any internet image\n",
         "url for inference.\n",
         "\n",
-        "Note that we are using single scale inference in the demo for fast computation,\n",
-        "so the results may slightly differ from the visualizations in\n",
-        "[README](https://github.com/tensorflow/models/blob/master/research/deeplab/README.md),\n",
+        "Note that this colab uses single scale inference for fast computation,\n",
+        "so the results may slightly differ from the visualizations in the \n",
+        "[README](https://github.com/tensorflow/models/blob/master/research/deeplab/README.md) file,\n",
         "which uses multi-scale and left-right flipped inputs."
       ]
     },
@@ -346,7 +346,7 @@
         "\n",
         "* Learn about [Cloud TPUs](https://cloud.google.com/tpu/docs) that Google designed and optimized specifically to speed up and scale up ML workloads for training and inference and to enable ML engineers and researchers to iterate more quickly.\n",
         "* Explore the range of [Cloud TPU tutorials and Colabs](https://cloud.google.com/tpu/docs/tutorials) to find other examples that can be used when implementing your ML project.\n",
-        "* [Here's](https://cloud.google.com/tpu/docs/tutorials/deeplab) a direct link to the DeepLab tutorial.\n"
+        "* For more information on running the DeepLab model on Cloud TPUs, see the [DeepLab tutorial](https://cloud.google.com/tpu/docs/tutorials/deeplab).\n"
       ]
     }
   ],