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Daniel Smilkov
@dsmilkov
@AnthropicAI. Prev @databricks (acquired @lilac_ai), TensorFlow.js at PAIR/Google Brain. 🇲🇰🇺🇸 . ML & Visualization
Boston, MA
Born February 2
Joined October 2010
Posts
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    I made this years ago, even before playground.tensorflow.org, but I never published it because I never finished it and stuff happened... Somehow it got on Hacker News, so here it is: Backpropagation explained via scrollytelling: google-developers.appspot.com/machine-learni…
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    Amazing work by my colleagues and external collaborators! BodyPix 2.0 with multi-person segmentation and increased accuracy! If you want your models to stay relevant, you have to maintain and update them, just like any other software.
    BodyPix 2.0 has been released, including multi-person segmentation support and a new live demo! To learn more, read the post by @tylerzhu3, @oveddan, @GreenBeanDou, @dsmilkov, @karlssonper, @ire_alva, @nsthorat. Details here → goo.gle/bodypix2
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    Play with a neural network in the browser and let us know what you've learned! playground.tensorflow.org Joint work with @ShanCarter
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    Funny how life works: 1) Made interactive ML visualizations 2) Learned it was hard to do without an in-browser library 3) Helped build such a library 4) No time to build interactive visualizations anymore :/
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    The future of ML on the Web is bright! We just released our optimized WebAssembly backend which offers ~4-20x performance boost over our existing CPU backend and is competitive with WebGL for small models. We are following the WASM standard closely for adding SIMD and threading!
    We’re excited to release the Alpha of our WebAssembly backend for TensorFlow.js! 🎉 WASM has wider device support and better numerical stability while getting competitive with WebGL for smaller models. Share your feedback here → goo.gle/2PGiNBq
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    A culmination of months of hard work with @nsthorat & @c_nich we are so excited to bring machine learning to the web pair-code.github.io/deeplearnjs
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    Excited to share that we now have distilled BERT running in the browser with TensorFlow.js! This brings a lot of exciting applications, such as a privacy-preserving "smart search". This is just the beginning of what I expect to be a large wave of NLP on the Web in 2020!
    What if you could use BERT right in your browser? This #TensorflowJS experiment helps you find answers to your questions on any webpage. #madeWithTFJS Learn more about it here → goo.gle/2W5gE65
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    Really excited about this model, which runs in real-time on Pixel and iPhone on our WebGL and WASM backends! Really nice work @GreenBeanDou and @wakoan!
    📢 Blazeface is now available in browsers with TensorFlow.js! The model detects faces and facial features in real-time 👨👩⏰ Try it out now → goo.gle/2QP3iqd
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    Looking back, I can’t believe it’s been more than a year since we forked TensorFlow Playground, the first commit of what became TensorFlow.js. Watch our talk on the TensorFlow YouTube channel! And check out js.tensorflow.org
    We are so excited to be joining Tensorflow as TensorFlow.js, an ecosystem of tools and libraries for machine learning in JavaScript. Find out more at js.tensorflow.org. We’re looking forward to building the next chapter of ML in JavaScript with you!
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    I'm very excited for these models to be open-sourced and available to the JS community! Thank you MediaPipe for the wonderful collaboration and @GreenBeanDou, @wakoan, Matthias, @realmgyong and many others that helped!
    Real time face + hand tracking in the browser with MediaPipe + TensorFlow.js What will you create using these new models? #MadeWithTFJS Read more → goo.gle/3cN1qZ8
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    Our first public launch since joining @databricks! Organizations struggle with creating high-quality evaluation datasets. Getting time with Subject Matter Experts to make diverse questions is hard. This is why we’re excited to introduce Synthetic Data Generation API!
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    Visualize your embeddings (or other high dimensional data) in the browser. Hope you like it! projector.tensorflow.org research.googleblog.com/2016/12/open-s…
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    I often see SBERT as the choice for on-device text embeddings, but there are other, often better and faster embeddings out there. At @lilac_ai, we've been pleasantly surprised by GTE across various tasks ⬇️
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    Did you know that TensorFlow.js can now run in a web worker? A huge thank you to our Google Summer of Code student Wenhe! To learn more, see the medium post: