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@TensorFlow

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

Joined February 2011

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  1. Pinned Tweet

    Why join us at ❓ ✅ Tutorials & training courses covering TensorFlow 2.0 ✅ Learn the entire TensorFlow stack from the team that made it! ✅ Hear from enterprise users with successful use cases Register now (use code TF20 for 20% off) →

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  2. Oct 18

    TensorFlow works like a (Py)charm! ✨ In this episode of TensorFlow Tip of the Week, shows you how to install PyCharm and other IDEs into a virtual environment. Watch now →

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  3. Retweeted
    Oct 16

    During his two-day training at , Valliappa Lakshmanan of introduces you to using Google Cloud Platform to design and build models and how to deploy them into production.

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  4. Oct 17

    TensorFlow 1.15.0 has been released! We do not expect to update the 1.x branch with features, although we will issue patch releases to fix vulnerabilities for at least one year. See the full release notes for more details on added features and changes ↓

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  5. Oct 16

    Did you like Zero to ML Hero with TensorFlow 2.0 talk? Then please join us for where he'll be teaching it live! Check out the preview here →

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  6. Oct 16

    The is well underway. Experience what our Shanghai event was like below! ✈️ Sign up for our upcoming 🌍 event: → Paris (11/8)

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  7. Retweeted
    Oct 15

    How to get started with machine learning on Arduino using Lite Micro:

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  8. Oct 15

    How-to get started with Machine Learning on ! Learn more in this guest blog post by and . Read now →

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  9. Oct 11

    Machine learning meets medicine 👩‍⚕️⚡️ In this episode of TensorFlow Meets, sits down with Marius Eriksen to discuss how he used to help his daughter manage type 1 diabetes. Check it out →

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  10. Oct 9

    Let's check in with about TensorFlow 2.0! Learn about the key features of TensorFlow 2.0, what's coming up ahead, and why you should attend . Read the Q&A here ↓

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  11. Oct 9

    TensorFlow 1.15.0-rc3 has been released! This is the last 1.x release, and we do not expect to update the 1.x branch with features. However, patch releases will be issued to fix vulnerabilities for at least one year. See the full release notes ↓

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  12. Retweeted
    Oct 4

    Our Distilbert paper just got accepted at NeurIPS 2019's ECM2 workshop! - 40% smaller 60% faster than BERT - 97% of the performance on GLUE We also distilled GPT2 in an 82M params model💥 All the weights are available in TF2.0 here:

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  13. Oct 7

    Stylize images with arbitrary styles in . We released a model on , try it out yourself in our new Colab! Details here →

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  14. Oct 4

    Neuroscience meets deep learning 💡 In this episode of TensorFlow Meets, sits down with the co-founder of Dyad X Machina and chats about their mission of bringing emotion into machine learning. Check it out →

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  15. Oct 3

    👋 Hey TensorFlow fans, we’ve got some good news. Deep Learning Virtual Machines in Google Cloud now support the full TensorFlow 2.0 release. Get building today! Check it out →

    Deep learning virtual machines in Google Cloud
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  16. Oct 1

    is coming up fast! Register now to join the TensorFlow team and community in beautiful Santa Clara, CA on Oct 28-31 →

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  17. Sep 30

    🗣 Attention community! We are excited to announce TensorFlow 2.0. Inspired by all of your feedback, this powerful and easy-to-use framework includes tight Keras integration, expanded TF datasets, and more. Watch present here →

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  18. Sep 30

    🎉 The wait is over! TensorFlow 2.0 is finally here. Driven by community feedback, this release provides a complete set of tools for developers, enterprises, and researchers to easily build ML applications. Read the blog ↓

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  19. Sep 27

    TensorFlow tip alert! Learn how to use TensorBoard with Keras in this quick computer vision demonstration by . Watch now →

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  20. Retweeted
    Sep 26

    ImageNet changed the world by providing a standard dataset and leaderboard that drove researchers to make huge strides in image recognition. Today, we aim to do the same for code search and understanding, with the release of CodeSearchNet. ✨

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