TensorFlowVerified account

@TensorFlow

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

Mountain View, CA
tensorflow.org
Joined February 2011
173 Photos and videos Photos and videos

Tweets

You blocked @TensorFlow

Are you sure you want to view these Tweets? Viewing Tweets won't unblock @TensorFlow

  1. Pinned Tweet
    Nov 8

    TensorFlow 1.12.0 has been released! Please see the full release notes for details on added features and changes. More info here ↓

    13 replies 334 retweets 779 likes
    Undo
  2. Nov 15

    Visualize your neural network with TensorBoard. In this Tip of the Week from , learn how to debug and optimize complex TensorFlow models using this handy suite of tools. Watch here →

    98 retweets 275 likes
    Undo
  3. Nov 14

    We’ve released a new Colab version of our image retraining tutorial! Build an image classifier using a image module right in the browser with . Check it out here →

    3 replies 147 retweets 356 likes
    Undo
  4. Nov 14

    Accelerate your TensorFlow models with XLA. TensorFlow 1.12 w/XLA is 1.5x faster than TensorFlow 1.11 on resnet50 training, processing >10k images/sec on V100. Read post here ↓

    3 replies 189 retweets 527 likes
    Undo
  5. Nov 9

    Happy 3rd birthday TensorFlow! We've come a long way since the first release in 2015 & TensorFlow wouldn't be the framework it is today without you. As we work on , look at all the features we've added over the years to make TensorFlow easier to use.

    31 replies 613 retweets 1,770 likes
    Undo
  6. Retweeted
    Nov 7

    Super excited: are now available in a public alpha, including public pricing (linear, see: ). It's really amazing to (with zero code changes-thanks ) crank the dial to 11 to train models and iterate 10-64x faster than ever before.

    22 retweets 57 likes
    Undo
  7. Nov 6

    Introducing QuantumCasts, our new series on everything you want to know about quantum computers and how to program them! Learn more here →

    4 replies 215 retweets 528 likes
    Undo
  8. Nov 5

    The On-device Visual Intelligence Competition (OVIC) is back! Check out Track 1 of the Low Power Image Recognition Challenge, and submit your real-time on-device image classification or detection model in Lite. Learn more here →

    48 retweets 121 likes
    Undo
  9. Nov 2

    Facilitate the process of serving ML models from experimentation to production with TensorFlow Serving and . Learn more here ↓

    2 replies 139 retweets 334 likes
    Undo
  10. Retweeted
    Nov 1

    I really enjoyed reading 's The Illustrated Transformer . Transformer-style architectures are very promising, and underpin the latest SotA NLP such as BERT and Mesh . Great for 2

    34 retweets 110 likes
    Undo
  11. Oct 29

    Thank you for your help updating the text generation tutorial! Check it out here →

    3 replies 84 retweets 244 likes
    Undo
  12. Oct 26

    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 →

    1 reply 102 retweets 237 likes
    Undo
  13. 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 →

    5 replies 75 retweets 266 likes
    Undo
  14. 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 →

    3 replies 208 retweets 535 likes
    Undo
  15. Retweeted
    Oct 22

    🛰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.

    2 replies 30 retweets 94 likes
    Show this thread
    Show this thread
    Undo
  16. 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 →

    3 replies 48 retweets 180 likes
    Undo
  17. Retweeted
    Oct 13

    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.

    3 replies 84 retweets 270 likes
    Show this thread
    Show this thread
    Undo
  18. 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 ↓

    7 replies 132 retweets 324 likes
    Undo
  19. 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 →

    63 retweets 179 likes
    Undo
  20. 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 ↓

    1 reply 71 retweets 194 likes
    Undo

@TensorFlow hasn't Tweeted yet.

Loading seems to be taking a while.

Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.

    You may also like

    ·