DynamicWebPaige @ #TFDocsSprint  

@DynamicWebPaige

✨🧠 Mom. Building machine learning for everyone at . I help you predict the future with computers. 👩‍💻

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Joined December 2008
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  1. Pinned Tweet
    21 Nov 2018

    ✨🧠 The ecosystem that has grown up around in the last few years blows my mind. There's just so much functionality, compared to some of the other, newer frameworks. 👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?

    28 replies 306 retweets 1,168 likes
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  2. Retweeted
    4 hours ago

    As we head to 2.0, you'll be aware that tf.contrib is going away. This article introduces SIG Addons, the community-led project that maintains a lot of the functionality you used to find in contrib

    12 retweets 25 likes
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  3. Retweeted
    24 Sep 2016

    no one should ever let me be a physics or math teacher, because all the exam questions / problem sets would come from Martin Gardner books

    5 replies 16 retweets 79 likes
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  4. 9 hours ago

    Already missing . So happy to have you on the for team! // 😂 – at Googleplex - Yoshka's Café

    1 reply 3 retweets 18 likes
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  5. Retweeted
    10 hours ago

    We are proud to present our featured speaker lineup at ! Come meet and immerse yourself in Functional Programming, Service Architectures, Data Pipelines and AI/ML at scale.

    4 retweets 13 likes
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  6. Retweeted
    Jul 22

    "We hope to build a community around ; a vibrant community of reusable machine learning models -- a more concrete exchange of ideas through executable code rather than just research papers." ❤️.

    1 reply 1 retweet 76 likes
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  7. Retweeted
    Jul 22

    kernels are supported in notebooks (google/swift-jupyter), and all of our Swift for examples / tutorials and served this way. 😀 You can get started here by clicking the "Run in " button:

    Replying to @DynamicWebPaige
    Did you somehow manage to get Swift running in Jupyter?
    1 reply 22 retweets 80 likes
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  8. 20 hours ago

    (good night, 🌍✨)

    4 likes
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  9. Retweeted
    24 hours ago

    I compared a high-level machine learning API to today and make no apologies

    1 reply 1 retweet 24 likes
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  10. 24 hours ago

    I compared a high-level machine learning API to today and make no apologies

    1 reply 1 retweet 24 likes
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  11. Retweeted
    Jul 22

    Although not everyone thinks this way, I find modeling vector representations of images (ie SVG files or pen stroke data from sketches) to be a much more interesting problem than modeling raw pixel images. It’s also really exciting since a lot more work can be done in this space.

    0:57
    Humans learn to draw sequentially. Designers rely on vector graphics. Yet most ML Research focus only on generative models for pixel images.
    17 replies 28 retweets 350 likes
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  12. Jul 22

    "We hope to build a community around ; a vibrant community of reusable machine learning models -- a more concrete exchange of ideas through executable code rather than just research papers." ❤️.

    1 reply 1 retweet 76 likes
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  13. Retweeted
    Jul 21

    Question: if you're starting a new machine learning project, what do you use to create your environment? And why?

    61 replies 24 retweets 71 likes
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  14. Retweeted
    Jul 22

    Learn how the orbits of exoplanets from the telescope are being analyzed with artificial intelligence to find new planets in this guest post by . Read here →

    1 reply 50 retweets 102 likes
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  15. Retweeted
    17 Sep 2013

    GITHUB IS DOWN REPENT YOUR SINS

    7 replies 67 retweets 84 likes
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  16. Jul 22

    kernels are supported in notebooks (google/swift-jupyter), and all of our Swift for examples / tutorials and served this way. 😀 You can get started here by clicking the "Run in " button:

    Replying to @DynamicWebPaige
    Did you somehow manage to get Swift running in Jupyter?
    1 reply 22 retweets 80 likes
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  17. Retweeted
    Jul 22

    Keras is one of the most popular machine learning APIs. We're excited to announce new monthly open design meetings to help guide Keras evolution. Here's more information about how you can join in /cc

    1 reply 55 retweets 184 likes
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  18. Retweeted
    Jul 21

    looks very similar to : a thread. (1) Concatenating arrays.

    11 replies 25 retweets 153 likes
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  19. Jul 22

    (5) Well... mostly. Python traditionally doesn't support low-level operations on memory addresses, and the id() function shouldn't be considered a standard.

    2 replies 3 retweets 9 likes
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  20. Jul 22

    the oil and gas industry was so weird

    well it's about dang time
    3 replies 1 retweet 13 likes
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  21. Jul 22

    (4) Looping over rows in an array.

    2 replies 2 retweets 13 likes
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