Update the Use TPUs guide

PiperOrigin-RevId: 383905669

Author: tensorflower-gardener

site/en/guide/tpu.ipynb

@@ -61,7 +61,7 @@
         "id": "Ys81cOhXOWUP"
       },
       "source": [
-        "Experimental support for Cloud TPUs is currently available for Keras and Google Colab. Before you run this Colab notebook, make sure that your hardware accelerator is a TPU by checking your notebook settings: **Runtime** > **Change runtime type** > **Hardware accelerator** > **TPU**."
+        "Before you run this Colab notebook, make sure that your hardware accelerator is a TPU by checking your notebook settings: **Runtime** > **Change runtime type** > **Hardware accelerator** > **TPU**."
       ]
     },
     {
@@ -530,11 +530,10 @@
       "source": [
         "## Next steps\n",
         "\n",
-        "- [Google Cloud TPU Documentation](https://cloud.google.com/tpu/docs/): How to set up and run a Google Cloud TPU.\n",
-        "- [Distributed training with TensorFlow](./distributed_training.ipynb): How to use distribution strategies with many example showing best practices.\n",
-        "- [Saving/Loading models with TensorFlow](../tutorials/distribute/save_and_load.ipynb): How to save and load models with distribution strategies.\n",
-        "- [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official): Examples of state-of-the-art TensorFlow 2.x models that are Cloud TPU-compatible.\n",
-        "- [Google Cloud TPU Performance Guide](https://cloud.google.com/tpu/docs/performance-guide): Enhance Cloud TPU performance further by adjusting Cloud TPU configuration parameters for your application."
+        "- [Google Cloud TPU documentation](https://cloud.google.com/tpu/docs/): How to set up and run a Google Cloud TPU.\n",
+        "- [Google Cloud TPU Colab notebooks](https://cloud.google.com/tpu/docs/colabs): End-to-end training examples.\n",
+        "- [Google Cloud TPU performance guide](https://cloud.google.com/tpu/docs/performance-guide): Enhance Cloud TPU performance further by adjusting Cloud TPU configuration parameters for your application\n",
+        "- [Distributed training with TensorFlow](./distributed_training.ipynb): How to use distribution strategies—including `tf.distribute.TPUStrategy`—with examples showing best practices."
       ]
     }
   ],