Rezultati pretraživanja
  1. 16. pro 2019.

    It's finally done! Our book has been sent for printing 🥳🍾 and I can't wait to see what you think of it 😊 The finished ebook will be available later this week, and print books will start appearing within a month. More details here👇

  2. 26. kol 2019.

    Squeezing keyword spotting into 16KB with ~91% accuracy using Kronecker decomposition

  3. 17. pro 2019.

    Just finished reading Making Embedded Systems by —there's so much hard-won wisdom in here! Great for any software engineer looking to level up their embedded chops (like... me). Pairs well with our book 👇

  4. Just published a library for doing embedded ML inferencing with TensorFlow Lite! cc

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  5. A CLUE! TinyML is a giant opportunity ... easiest way to do machine learning with edge devices with (latest board silk!)

  6. 16. sij

    In a recent article, learn how engineers are taking machine learning to the smallest microprocessors, while facing challenges in energy consumption, compressing neural networks, and privacy practices.

  7. 14. sij

    “Machine Learning on an ATtiny85?” by me for . Doing tiny machine learning on even tinier processors with . Inferencing using in just 21 bytes on an .

  8. 15. sij
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  9. 10. stu 2019.

    Great overview on how to make your models smaller and more efficient by . From model distilling to The Lottery Ticket Hypothesis and way more! - Deep learning has a size problem Especially kudos to so many references to papers!

  10. 12. sij

    Skiing would be a pretty epic place to apply —imagine skis that give feedback on your turns, boots that adjust flex based on how you're skiing, or goggles that change tint to help you see better in a blizzard 🎿

  11. 21. pro 2019.

    Happy holidays from 🎄! We're getting ready to launch our developer preview, bringing Machine Learning to all developers. Here's a sneak peek of the product:

  12. 30. lis 2019.

    Great class on training and deploying ML gesture recognition using on at . Material

  13. 16. ruj 2019.

    Learn more about Edge Impulse and sign up for our developer preview interest list:

  14. I deployed this code/tutorial on my ESP32 and it seems to work fine, now I have to make it from scratch to figure out what's going on under the hood.

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  15. On our Radar: . The challenges and opportunities of low-power ML applications

  16. More on , this time outputting the results of the sine wave model to an TFT FeatherWing. H/T to Adafruit for the inspiration during this week’s Machine Learning Monday!

  17. 28. kol 2019.

    Testing in a . It's amazing a tiny ML model on a MCU trained to predict sin values(🔵X [0-2π],🔴predicted value). I hope write a post about this soon!,😁😁

  18. 22. sij

    Our first Bay Area meetup of 2020 will be happening next Tuesday, Jan 28th, at in San Jose. Sign up at

  19. 9. lis 2019.

    Love this partnership with . Do you want to learn more? Come join our workshop with -

  20. 3. sij

    I was playing around with today. I learned how to develop a TensorFlow neural network model, convert it to TensorFlow Lite, and eventually a C file to deploy on a microcontroller.

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