Machine Learning at the Extreme Edge of Always-on Intelligent Sensor Networks

Machine Learning at the Extreme Edge of Always-on Intelligent Sensor Networks

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Network Complexity

6 of 17

6 of 17

Network Complexity

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Machine Learning at the Extreme Edge of Always-on Intelligent Sensor Networks

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  1. 1 Introduction
  2. 2 IoT Sensors
  3. 3 Alwayson Detection
  4. 4 System Level Optimization
  5. 5 Constraints
  6. 6 Network Complexity
  7. 7 Weight Quantization
  8. 8 Model Augmentation
  9. 9 Hardware Options
  10. 10 Quantized Networks
  11. 11 Custom Data Paths
  12. 12 Binary Convolution
  13. 13 Summary
  14. 14 InMemory Compute
  15. 15 Quantization and Training
  16. 16 Analog Computation
  17. 17 Sponsors

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