# November 2023

TensorFlow Newsletter November 2023


Register for the annual Women in ML Symposium on December 7. Discover the latest updates.

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| |---| | |---| | [![](https://gstatic.com/growthlab/api/5bVWsgT8ttKvlVaE5gRkjgAiBv9mwnyIQkgpcp0q.png)](https://www.tensorflow.org/subscribe/2023/11#) | | | |---| | |---| | |---| | What's new in TensorFlow 2.15 | | | |---| | |---| | |---| | |---| | Highlights include upgrades to CUDA 12.2 and Clang 17.0.1, new Linux install for NVIDIA CUDA libraries, oneDNN CPU performance optimizations, and full availability of tf.function types. | | | |---| | [Read the blog](https://blog.tensorflow.org/2023/11/whats-new-in-tensorflow-2-15.html?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | | | |---| |   | | | |---| | |---| | |---| | |---| | |---| | |---| | |---| | [![](https://www.gstatic.com/growthlab/api/MOPbDVCdByKgLikOncluh7I4gjK0Q4MO8aP6zUYN.png)](https://aidevelopers.withgoogle.com/events/wiml-symposium-2023?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | Learn the latest at the Women in ML Symposium 2023 on December 7 | | Register to watch recent machine learning and AI announcements in the keynote, as well as sessions covering frameworks, AI tools and techniques, on-device ML, and more. | | |---| | |---| | |---| | |---|---| | |---| | [Register now](https://aidevelopers.withgoogle.com/events/wiml-symposium-2023?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://aidevelopers.withgoogle.com/events/wiml-symposium-2023?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | | | | | | | | |---| | |---| | |---| | |---| | Celebrating Google Dev Library's women contributors in AI/ML | | Discover how three ML engineers approach open development and collaboration in their projects. Explore their contributions in [Dev Library](https://devlibrary.withgoogle.com/?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) . | | |---| | |---| | |---| | |---|---| | |---| | [Read the blog](https://developers.googleblog.com/2023/07/celebrating-google-dev-library-women-contributions-in-ai-ml.html?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://developers.googleblog.com/2023/07/celebrating-google-dev-library-women-contributions-in-ai-ml.html?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | | | | | | | | |---| | |---| | |---| | |---| | [![](https://www.gstatic.com/growthlab/api/F7RRdxUY6XYYHHyR2eCqyeIyEJJC44xAlrymfA2C.png)](https://www.youtube.com/watch?v=w5gB8zyLx-8?utm_source%3Demail&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | Training a random forest for multi-class classification | | Learn how random forests, ensembles of decision trees, make predictions through bootstrap aggregating, and train a model using the TensorFlow Decision Forests library. | | |---| | |---|---|---| | |---| | |---|---| | |---| | [Watch the video](https://www.youtube.com/watch?v=w5gB8zyLx-8?utm_source%3Demail&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://www.youtube.com/watch?v=w5gB8zyLx-8?utm_source%3Demail&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | ![](https://services.google.com/fh/files/emails/spacer_11.gif) | |---| | |---|---| | |---| | [Try the code in Colab](https://colab.sandbox.google.com/github/tensorflow/decision-forests/blob/main/documentation/tutorials/beginner_colab.ipynb?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://colab.sandbox.google.com/github/tensorflow/decision-forests/blob/main/documentation/tutorials/beginner_colab.ipynb?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | | | | | | | | |---| | |---| | |---| | |---| | People of AI: Sayak Paul | | Meet Sayak Paul, a top machine learning Google Developer Expert, as he discusses his open source contributions, the evolution of the field of ML, and current work at Hugging Face. | | |---| | |---| | |---| | |---|---| | |---| | [View episode](https://www.youtube.com/watch?v=CmbsRU5XYxw?utm_source%3Demail&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | |---| | [![](https://www.gstatic.com/growthlab/api/Obmfy5bg9fJotE3zdZDXu4HiZx1oT3KnprcfW3ED.png)](https://www.youtube.com/watch?v=CmbsRU5XYxw?utm_source%3Demail&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | | | | | | | | | | | | |---| |   | | | |---| | ![](https://www.gstatic.com/gumdrop/files/spacer-11.gif) | | Stay Connected | | |---|---|---|---|---|---|---|---|---| | [![TensorFlow blog](https://www.gstatic.com/growthlab/api/e7WEFvQxwbiFjhuJkQsF5Fq09BSs8t0t7zjVc2ZZ.png)](https://blog.tensorflow.org?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) |   | [![Github](https://www.gstatic.com/growthlab/api/3oLbQMNQ8xdPTrZaFXgbpypikCrz1cifbZnJ7hYv.png)](https://github.com/tensorflow?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) |   | [![X](https://gstatic.com/growthlab/api/qTLa5CDPfCaU74g6OzQPE546CJPaqLheI2Vw8qev.png)](https://twitter.com/tensorflow?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) |   | [![Youtube](https://www.gstatic.com/growthlab/api/Hmw6zspJ6zRcW9dalh8m4Yztyv80TMDVsycNLpCi.png)](https://www.youtube.com/tensorflow?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) |   | [![TensorFlow forum](https://www.gstatic.com/growthlab/api/o2mjGQiE1CeSDhViQ9I47utHTpyx929ckrYzUOoR.png)](http://discuss.tensorflow.org?utm_source=email&utm_medium=newsletter&utm_campaign=tensorflow-nov23) | | | |---| | |---| | ![](https://www.gstatic.com/gumdrop/files/spacer-11.gif) | | |---| | © 2023 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043 | | | | | | | |

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