Internal change

PiperOrigin-RevId: 303831690

official/r1/README.md

@@ -1,23 +1,20 @@
-# Legacy Models Collection
+![Status](https://img.shields.io/badge/No%20Maintenance%20Intended-%E2%9C%95-red.svg)
 
-The R1 folder contains legacy model implmentation and models that will not
-update to TensorFlow 2.x. They do not have solid performance tracking.
+# Legacy Models
 
-**Note: models will be removed from the master branch by 2020/06.**
+The **r1** folder contains legacy model implementations developed
+using TensorFlow 1.x.
 
-After removal, you can still access to these legacy models in the previous
-released tags, e.g. [v2.1.0](https://github.com/tensorflow/models/releases/tag/v2.1.0).
+**Note: We will remove this r1 folder from the master branch in June, 2020.**
 
+After removal, you will still be able to access legacy models
+in the previous releases.
+(e.g., [v2.1.0](https://github.com/tensorflow/models/releases/tag/v2.1.0))
 
-## Legacy model implmentation
-
-Transformer and MNIST implementation uses pure TF 1.x TF-Estimator.
-Users should follow the corresponding TF 2.x implmentation inside the
-official model garden.
-
-## Models that will not update to TensorFlow 2.x
-
-*   [boosted_trees](boosted_trees): A Gradient Boosted Trees model to
-    classify higgs boson process from HIGGS Data Set.
-*   [wide_deep](wide_deep): A model that combines a wide model and deep
-    network to classify census income data.
+| Model | Description | Reference |
+| ----- | ----------- | --------- |
+| [Gradient Boosted Trees](boosted_trees) | A gradient boosted trees model to classify higgs boson process from HIGGS dataset | [Link](https://en.wikipedia.org/wiki/Gradient_boosting) |
+| [MNIST](mnist) | A basic model to classify digits from the MNIST dataset | [Link](http://yann.lecun.com/exdb/mnist/) |
+| [ResNet](resnet) | A deep residual network for image recognition | [arXiv:1512.03385](https://arxiv.org/abs/1512.03385) |
+| [Transformer](transformer) | A transformer model to translate the WMT English to German dataset | [arXiv:1706.03762](https://arxiv.org/abs/1706.03762) |
+| [Wide & Deep Learning](wide_deep) | A model that combines a wide linear model and deep neural network for recommender systems | [arXiv:1606.07792](https://arxiv.org/abs/1606.07792) |