TensorFlow

@tensorflow

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

Дата приєднання: лютий 2011

Твіти

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  1. 19 трав.

    Learn how to bring your ML models from R&D ➡️ Production with Serving in this talk:

  2. 19 трав.

    We asked to give us a demo in the TensorFlow sandbox during

  3. ретвітнув(ла)
    19 трав.

    TensorFlow 1.2rc0 is now out with the module for simpler and more powerful input pipelines!

  4. 19 трав.

    Machine Learning fireside chat happening live at :

  5. 19 трав.

    You don't have to start from scratch to benefit from ML. Learn about open source models for images, text, and art:

  6. 18 трав.

    What's new in TensorFlow? What are TPUs? What's the TensorFlow Research Cloud? This session has the answers:

  7. 18 трав.

    Not an expert in machine learning? TensorFlow has you covered. Check out this talk from :

  8. 18 трав.

    The energy of has our team and developers workshopping the next big thing with

  9. 17 трав.

    Tune in for the Developer Keynote for more TensorFlow information, starting 1 PM (PDT)

  10. 17 трав.

    Introducing the TensorFlow Research Cloud: 1,000 Cloud TPUs to support open machine learning research.

  11. 17 трав.

    At ? Come to office hours today at 6pm with the Brain team:

  12. 16 трав.

    We open-sourced TensorFlow so developers like Jian-Yang can change the world.

  13. 16 трав.

    Check out this blogpost to learn how Google's 1st-gen TPU works:

  14. ретвітнув(ла)
    10 трав.
  15. 8 трав.

    Ask your questions to the TensorFlow team in a fireside chat at this week!

  16. 4 трав.
  17. 4 трав.

    We just published benchmarks and a new high-performance guide to - have a look!

  18. 3 трав.

    Going to ? Swing by Day on May 10th for discussions, presentations, and hands-on time:

  19. 27 квіт.

    TensorFlow v1.1.0 has been released! Please see the full release notes for details on added features and changes:

  20. 24 квіт.

    now supports RDMA based distributed training on Infiniband networks. Thanks to for contributing

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