3 ms·

Hey, do you have any sources for that to read?

• datameta 6y ago
  Sure. I saw talks by NXP and Renesas at the ARM Dev Summit last week that demonstrated the use of the Glow ML compiler [0] and CMSIS-NN Library [1] to squeeze a Wake Word NN [2] from 20KB to 14KB (with much greater reduction possible on larger ML models). Both Tensorflow Lite and Pytorch is supported in this toolchain. [0] https://github.com/pytorch/glow https://github.com/pytorch/glow [1] https://arm-software.github.io/CMSIS_5/NN/html/index.html https://arm-software.github.io/CMSIS_5/NN/html/index.html [2] https://github.com/tensorflow/tensorflow/tree/master/tensorflow/lite/micro/examples/micro_speech https://github.com/tensorflow/tensorflow/tree/master/tensorf...
  • d_silin 6y ago
    Thanks, I’ll have a look. Didn’t realize ML models that small can work.
    • monocasa 6y ago
      TinyML is a decent book as an intro to ML models in that size range.