ML and the IoT - Living on the Edge

ML and the IoT - Living on the Edge

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Machine Learning Tools

8 of 33

8 of 33

Machine Learning Tools

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Classroom Contents

ML and the IoT - Living on the Edge

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  1. 1 Intro
  2. 2 Zeke
  3. 3 Washing Machine
  4. 4 ML vs Deep Learning
  5. 5 The Streetlight Problem
  6. 6 Human vs Machine Learning
  7. 7 Discipline of Machine Learning
  8. 8 Machine Learning Tools
  9. 9 Example
  10. 10 Train predict tune loop
  11. 11 Train predict model
  12. 12 Train predict classifier
  13. 13 Deployment
  14. 14 Pretrained APIs
  15. 15 Azure Face API
  16. 16 Cloud vs Local Performance
  17. 17 The IoT is the source of data
  18. 18 Volume
  19. 19 The problem
  20. 20 The solution
  21. 21 What we want
  22. 22 What does this look like
  23. 23 What you get instead
  24. 24 Google Coral
  25. 25 Google Coral Demo
  26. 26 IoT
  27. 27 Raspberry Pie
  28. 28 Lowcost ML
  29. 29 Microcontrollers
  30. 30 Federated Learning
  31. 31 Three Big Things
  32. 32 Single Board Computers
  33. 33 Tensorflow Light

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