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TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution.

For this task, you should make a PR to add a description or usage example for an API symbol in a TensorFlow ecosystem product.

To receive credit, your addition to the API symbol should be reviewed, approved, and merged. Extremely Important:

1. Read https://www.tensorflow.org/community/contribute/docs_ref
   1. make sure there are no floating point numbers with too much precision (replace the trailing digits with ...)
   2. make sure there are no random numbers in the doctest (as otherwise it's flaky)