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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
    Oct 12

    TensorFlow 1.12.0-rc0 has been released! Please see the full release notes for details on added features and changes. Learn more here ↓

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  2. If you missed the TensorFlow team at the O’Reilly AI Conference in San Francisco, the full playlist is now available. Topics include: TensorFlow Lite, TensorFlow.js, TFX (Extended) & Hub, Distributed TensorFlow, and more! Find more info and videos here →

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  3. Oct 25

    Training ML models takes time and losing your weight values can happen at the touch of CTRL-C. In this shows you how to load and save models at every epoch so you never lose time or data. Watch here →

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  4. Oct 25

    Image augmentation lets you get the most of your dataset. We released state-of-the-art AutoAugment Modules on allowing you to train better image models with less data! Check it out here →

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  5. Retweeted

    🛰Will never stop being enchanted by creative applications of machine learning in new problem spaces. 📃Check out this paper on SmallSats: the authors use Hub + Lite to deploy deep learning models on low-memory, low-power, space-grade, embedded platforms.

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  6. Oct 18

    In last week's , we looked at model overfitting/underfitting. Now takes a closer look at regularizing models, training, testing and launching them for comparison. Watch here →

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  7. Retweeted

    Eager Execution Enabled In this notebook I explain different concepts in eager execution. I go over variables, ops, gradients, custom gradients, callbacks, metrics and creating models with tf.keras and saving/restoring them.

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  8. Oct 11

    Overfitting models are too specialized to generalize, and underfitting models are too generalized to specialize! looks at how this happens and how to avoid it in the first of a two parter . Watch here →

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  9. Oct 11

    In this guest post on the TensorFlow blog, VP Data Science & Analytics at BHGE Arun Subramaniyan explores industrial ML with probabilistic deep learning andTensorFlow Probability. Read the post here ↓

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  10. Oct 10

    Take a closer look at how we used to bring Emoji Scavenger Hunt to life! Read the post here →

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  11. Retweeted

    New Developer Blog: Mixed Precision Training for and Speech Recognition with OpenSeq2Seq - an open-source, -based toolkit.

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  12. Retweeted
    Oct 5

    The 1st ever roadshow in India has come to an end. 🇮🇳🎊 Thank you to the wonderful audience for your enthusiastic participation. We look forward to seeing all of you soon!

    , , and 2 others
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  13. Retweeted
    Oct 5

    We caught up with some of attendees to hear what they had to say about the ongoing roadshow in Bangalore. We are thrilled to know that they enjoyed the sessions & are looking forward to implementing all that they have learnt in their work! 🙌

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  14. Oct 4

    In the latest , tackles regression problems, where we predict output of a continuous value, like a price or a probability. See how it's done →

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  15. Retweeted
    Oct 2

    In or near London, UK? Don't miss 4 days of training & talks from and at the conference, registration from £149—great opportunity for teams!

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  16. Retweeted
    Oct 1

    We recently released TensorFlow.js v0.13 which contains significant performance improvements, complex64 dtypes, a new profiling API tf.profile, new ops, precision / recall metrics to the layers API, and much more! Release notes here:

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  17. Retweeted

    ✨😍 Y'ALL: IT'S AN EAGER BEAVER Artist credit: the endlessly talented . Isn't he the most adorable thing you've ever seen? His dam is even made of neural nets! (cc: )

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  18. Oct 1

    We are excited to announce tfjs-vis, a browser based visualization library for TensorFlow.js. It has charts to let you see the data flowing through your model, and a convenient hide-able drawer to put them in while developing your apps. Check it out →

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  19. Sep 27

    TensorFlow 1.11.0 has been released! Please see the full release notes for details on added features and changes. Learn more here ↓

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  20. Sep 21

    Congrats to on winning track one of the Low-Power Image Recognition Challenge (LPIRC), with ! Read more here ↓

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