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Exploring Techniques to Build Efficient and Robust TinyML Deployments

Exploring Techniques to Build Efficient and Robust TinyML Deployments

tinyML via YouTube Direct link

Introduction

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Introduction

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Exploring Techniques to Build Efficient and Robust TinyML Deployments

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 TinyML vs CloudAI
  4. 4 Data
  5. 5 Transfer Learning
  6. 6 General Blueprint
  7. 7 Keyword Spotting
  8. 8 Quantization
  9. 9 Tweaking the architecture
  10. 10 Quantization and accuracy
  11. 11 Out of distribution detection
  12. 12 Out of distribution vs in distribution

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