message: Update the docs to link to the new PoseNet model and the PoseNet example app.
diff: _PoseNet_ is a vision model that can be used to estimate the pose of a person in
  an image or video by estimating where key body joints are.
  -<a class="button button-primary" href="https://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/multi_person_mobilenet_v1_075_float.tflite">Download
  +<a class="button button-primary" href="https://storage.googleapis.com/download.tensorflow.org/models/tflite/posenet_mobilenet_v1_100_513x513_multi_2019_08_01.tflite">Download
  starter model</a>
  Android and iOS end-to-end tutorials are coming soon. In the meantime, if you
  @@ -15,6 +15,14 @@ want to experiment this on a web browser, check out the
  <a href="https://github.com/tensorflow/tfjs-models/tree/master/posenet">TensorFlow.js
  GitHub repository</a>.
  +### Example applications and guides
  +
  +There is a TensorFlow Lite sample application that demonstrates the PoseNet
  +model on Android.
  +
  +<a class="button button-primary" href="https://github.com/tensorflow/examples/tree/master/lite/examples/posenet/android">
  +Android example</a>.
  +
  ## How it works
  Pose estimation refers to computer vision techniques that detect human figures
  