[HN Gopher] Quantization and Deployment of Deep Neural Networks ...
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Quantization and Deployment of Deep Neural Networks on
Microcontrollers
Author : ArtWomb
Score : 42 points
Date : 2021-05-29 12:35 UTC (1 days ago)
(HTM) web link (www.mdpi.com)
(TXT) w3m dump (www.mdpi.com)
| parkaboy wrote:
| For anyone interested in getting their toes wet with deploying ML
| on small embedded devices, I cannot overstate how amazing Edge
| Impulse is (https://edgeimpulse.com).
| syntaxing wrote:
| Really interested hearing your experience with them! I worked
| on a project a decade ago on predictive analytics and it cost
| almost seven digits and required a decent amount of
| infrastructure overhead. Curious how this perform since
| everything runs on the board.
| moh_maya wrote:
| If nothing else, follow their guides for the arduino nano 33
| ble sense + TinyML. They are a lot of fun!
|
| [1] https://docs.edgeimpulse.com/docs/continuous-motion-
| recognit...
|
| [2] https://tinymlbook.com/
| datameta wrote:
| The TinyML book by Pete Warden and Daniel Situnayake is an
| invaluable resource to getting started! Above all else I
| would recommend coming up with the top level details of a
| potential project as you work through the book' tutorials.
| Learning by doing (especially something one enjoys) is above
| all else the best way to truly grok something.
| datameta wrote:
| Most if not all of the weekly webinars and all the recordings
| from TinyML Asia 2020 and TinyML Summit 2021 are on this
| youtube channel: https://youtube.com/c/tinyML
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(page generated 2021-05-30 23:00 UTC)