EON Tuner - AutoML for Constrained Devices in TinyML

EON Tuner - AutoML for Constrained Devices in TinyML

tinyML via YouTube Direct link

Signal processing + ML

3 of 17

3 of 17

Signal processing + ML

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

EON Tuner - AutoML for Constrained Devices in TinyML

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Hi, I'm Jan!
  3. 3 Signal processing + ML
  4. 4 Leveraging signal processing
  5. 5 ML Sensor pipeline is often combination
  6. 6 Wide range of parameters
  7. 7 Constrained targets - what's worth it?
  8. 8 Introducing the EON Tuner!
  9. 9 Understand the problem
  10. 10 Dataset quality
  11. 11 Custom search space
  12. 12 Bird sound classifier
  13. 13 Best models...
  14. 14 Lots of DSP? Lots of NN?
  15. 15 Getting started
  16. 16 FOMO - Object detection for MCUS
  17. 17 Questions?

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.