Rezultati pretraživanja
  1. 4. sij

    On-device training with Core ML 3

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  2. I'm now live streaming at making an app using in - maybe including

  3. 2. velj
  4. 31. sij
  5. 29. sij

    Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)

  6. 29. sij
  7. 29. sij
  8. 18. sij

    What a great start of 2k20. I must say Swift community in Lahore is really amazing. 😍 It felt great to share knowledge on and in my work of emoji playground with iOS fellows. 💯

  9. 17. sij

    I’ve done Days 026/100 0f very interesting for new project machine learning , how date and date pickers work in swiftUI, I think my spirit comeback again

  10. 14. sij

    Heartbeat contributor was kind enough to share his excellent dive into working with models on the edge: exporting them to , and then personalizing them on-device using Core ML 3.

  11. 12. sij

    Our latest book is about building experiences using ! We’re incredibly proud of it. Check it out? Reviews appreciated ❤️

  12. 10. sij

    Hacking for with to enable distributed training. Hacking towards a Swift Federated Learning solution.

  13. 5. sij

    年末年始についにiOSでのオンデバイス学習に成功したので見てやってください。MNIST手書き数字認識の学習をゼロからiPhone上で行っています。

  14. 5. sij
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  15. 4. sij

    Deeply impressed by and . I've struggled to find talent to build machine learning models for this past year and once I discovered them, I built my own scalable sound classifier in two days 🙌🏼🚀

  16. How to use CoreML on non-Apple platforms? This was a really fun project because it involves a lot of different technology. (you'll build an entire web api in Swift!)

  17. 20. pro 2019.
  18. 20. pro 2019.

    Usually we talk about models in the context of deploying them inside apps. But in this post, contributor shows us a way to deploy Core ML models to the web (and other platforms) with Vapor.

  19. 20. pro 2019.
  20. 15. pro 2019.

    ダンスAI開発記録。 スマホの合成加速度でもそれなりにはステップ分類できる。

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