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Efficient On-Device Deep Learning: Challenges and Opportunities

Efficient On-Device Deep Learning: Challenges and Opportunities

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Efficient On-Device Deep Learning: Challenges and Opportunities

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  1. 1 Introduction
  2. 2 Ideal computing
  3. 3 Data explosion
  4. 4 Four directions
  5. 5 Two directions
  6. 6 Hardware friendly neural networks
  7. 7 Kernel level latency prediction
  8. 8 Mobile CPU utilization
  9. 9 Optimization
  10. 10 Results

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