De-risking Embedded Machine Learning Projects Using Novel Technologies

De-risking Embedded Machine Learning Projects Using Novel Technologies

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De-risking Embedded Machine Learning Projects Using Novel Technologies

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  1. 1 Introduction
  2. 2 The problem
  3. 3 Device constraints
  4. 4 Object detection
  5. 5 Data sets
  6. 6 Test data set performance
  7. 7 Realistic application testing
  8. 8 Conclusions
  9. 9 Contact us
  10. 10 Conclusion
  11. 11 Sponsors

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