Additional Resources

TensorFlow WhitePaper

Additional details about the TensorFlow programming model and the underlying implementation can be found in our white paper:

TensorFlow: Large-scale machine learning on heterogeneous systems

Citation

If you use TensorFlow in your research and would like to cite the TensorFlow system, we suggest you cite the paper above. You can use this BibTeX entry. As the project progresses, we may update the suggested citation with new papers.

Please only use the TensorFlow name and marks when accurately referencing this software distribution, and do not use our marks in a way that suggests you are endorsed by or otherwise affiliated with Google. When referring to our marks, please include the following attribution statement: "TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc."

Community

Development

The source is hosted on GitHub: https://github.com/tensorflow/tensorflow.

If you are interested in contributing to TensorFlow please review the contributing guide.

Help / Support / How do I?

For help and support, technical or algorithmic questions, please submit your questions to Stack Overflow: https://stackoverflow.com/questions/tagged/tensorflow. Please do not use the mailing list or issue tracker for support.

Discussions

For general discussions, please join the TensorFlow discuss mailing list. This list is intended for general discussions about TensorFlow development and directions, not as a help forum. Instead, direct your questions to Stack Overflow, and report issues on GitHub.

Report Issues

Please report bugs, feature requests and installation / compatibility issues on the TensorFlow issues tracker on GitHub. If you need help with using TensorFlow, please do not use the issue tracker for that. Instead, direct your questions to Stack Overflow.

Versioning

TensorFlow uses Semantic Versioning 2.0. For details on the versioning of our public API and binary compatibility, see the versioning document.