This section explains how developers can add functionality to TensorFlow's capabilities. Begin by reading the following architectural overview:
The following guides explain how to extend particular aspects of TensorFlow:
Python is currently the only language supported by TensorFlow's API stability promises. However, TensorFlow also provides functionality in C++, Java, and Go, plus community support for Haskell and Rust. If you'd like to create or develop TensorFlow features in a language other than these languages, read the following guide:
To create tools compatible with TensorFlow's model format, read the following guide:
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Code samples licensed under the Apache 2.0 License.