ELL: The Microsoft Embedded Learning Library - Principles and Applications

ELL: The Microsoft Embedded Learning Library - Principles and Applications

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5 of 14

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ELL: The Microsoft Embedded Learning Library - Principles and Applications

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  1. 1 Intro
  2. 2 The Embedded Learning Library
  3. 3 Al compiler vs. Al runtime
  4. 4 Evaluation
  5. 5 Architecture search
  6. 6 Lossless acceleration
  7. 7 Lossy Acceleration mix and match compression techniques
  8. 8 Quantization semantics
  9. 9 Quantization representation
  10. 10 Quantization example
  11. 11 Quantization performance
  12. 12 Quantized weight accuracy
  13. 13 Quantized activation accuracy
  14. 14 Current focus areas

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