AI at the Edge - Enabling Vision for Low-Power Devices

AI at the Edge - Enabling Vision for Low-Power Devices

tinyML via YouTube Direct link

Introduction

1 of 15

1 of 15

Introduction

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AI at the Edge - Enabling Vision for Low-Power Devices

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  1. 1 Introduction
  2. 2 Why move to edge devices
  3. 3 History of edge devices
  4. 4 Questions
  5. 5 How to solve problem
  6. 6 Data bound problem
  7. 7 Pipeline
  8. 8 Data collection
  9. 9 Corrective feedback
  10. 10 Continuous learning
  11. 11 HLS vshdl
  12. 12 Software and hardware
  13. 13 Tooling
  14. 14 Quantization and pruning
  15. 15 Sponsors

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