Added model-garden guide published on TF website

README.md

@@ -20,7 +20,7 @@ extent possible though not all models are suitable.
 
 | Directory | Description |
 |-----------|-------------|
-| [official](official) | • A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs<br />• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow<br />• Reasonably optimized for fast performance while still being easy to read |
+| [official](official) | • A collection of example implementations for SOTA models using the latest TensorFlow 2's high-level APIs<br />• Officially maintained, supported, and kept up to date with the latest TensorFlow 2 APIs by TensorFlow<br />• Reasonably optimized for fast performance while still being easy to read<br /> For more details on the capabilities, check the guide on the [Model-garden](https://www.tensorflow.org/tfmodels)|
 | [research](research) | • A collection of research model implementations in TensorFlow 1 or 2 by researchers<br />• Maintained and supported by researchers |
 | [community](community) | • A curated list of the GitHub repositories with machine learning models and implementations powered by TensorFlow 2 |
 | [orbit](orbit) | • A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with `tf.distribute` and supports running on different device types (CPU, GPU, and TPU). |