TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic

TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic

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Convolutional Neural Networks CN

3 of 22

3 of 22

Convolutional Neural Networks CN

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TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic

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  1. 1 Intro
  2. 2 Diabetic Retinopathy(DR)
  3. 3 Convolutional Neural Networks CN
  4. 4 Related Work - CNN Literature
  5. 5 Computation in memory (CIM) Architecture
  6. 6 Resistive Random Access Memory RE
  7. 7 Tasks in this work
  8. 8 Performance Metrics
  9. 9 Data Processing
  10. 10 Model Training
  11. 11 Severity Label (SL)
  12. 12 Model Compression
  13. 13 Multi-class accuracy
  14. 14 Severity Label Accuracy
  15. 15 Model Evaluation
  16. 16 Compression Schemes
  17. 17 Latency
  18. 18 Energy Consumption - Quantization
  19. 19 Conclusion
  20. 20 High-Value or Safety-Critical Use Cases? For your most important projects, use
  21. 21 Renesas is enabling the next generation of Al-powered solutions that will revolutionise every industry sector
  22. 22 Silver Strategic Partners

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