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Summary
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Classroom Contents
Machine Learning at the Extreme Edge of Always-on Intelligent Sensor Networks
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- 1 Introduction
- 2 IoT Sensors
- 3 Alwayson Detection
- 4 System Level Optimization
- 5 Constraints
- 6 Network Complexity
- 7 Weight Quantization
- 8 Model Augmentation
- 9 Hardware Options
- 10 Quantized Networks
- 11 Custom Data Paths
- 12 Binary Convolution
- 13 Summary
- 14 InMemory Compute
- 15 Quantization and Training
- 16 Analog Computation
- 17 Sponsors
