Readme of Offically supported TensorFlow 2.1 Models on Cloud TPU

PiperOrigin-RevId: 285234431

official/README-TPU.md

+# Offically Supported TensorFlow 2.1 Models on Cloud TPU
+
+## Natural Language Processing
+
+*   [bert](nlp/bert): A powerful pre-trained language representation model:
+    BERT, which stands for Bidirectional Encoder Representations from
+    Transformers.
+*   [transformer](transformer): A transformer model to translate the WMT
+    English to German dataset.
+
+## Computer Vision
+
+*   [mnist](vision/image_classification): A basic model to classify digits
+    from the MNIST dataset.
+*   [resnet](vision/image_classification): A deep residual network that can
+    be used to classify ImageNet's dataset of 1000 classes.
+*   [retinanet](vision/detection): A fast and powerful object detector.

official/README.md

@@ -69,6 +69,8 @@ installable Official Models package. This is being tracked in
 
 ## Available models
 
+**NOTE: For Officially Supported TPU models please check [README-TPU](README-TPU.md).**
+
 **NOTE:** Please make sure to follow the steps in the
 [Requirements](#requirements) section.
 
@@ -88,7 +90,7 @@ installable Official Models package. This is being tracked in
     the MNIST dataset.
 *   [resnet](vision/image_classification): A deep residual network that can be
     used to classify both CIFAR-10 and ImageNet's dataset of 1000 classes.
-*   [retinanet](vision/detection): A fast and power detector.
+*   [retinanet](vision/detection): A fast and powerful object detector.
 
 ### Others