Continual On-Device Learning on Multi-Core RISC-V Microcontrollers

Continual On-Device Learning on Multi-Core RISC-V Microcontrollers

tinyML via YouTube Direct link

An (Open) HW perspective

2 of 12

2 of 12

An (Open) HW perspective

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Continual On-Device Learning on Multi-Core RISC-V Microcontrollers

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  1. 1 Intro
  2. 2 An (Open) HW perspective
  3. 3 PULP-NN: Accelerating DNN Inference
  4. 4 License Plate Recognition
  5. 5 Speech Enhancement
  6. 6 Data challenge for the real-world
  7. 7 Catastrophic Forgetting
  8. 8 Continual Learning (CL)
  9. 9 CL with Latent Replays
  10. 10 Quantization and Memory Cost
  11. 11 Learning Kernels Latency on PULP
  12. 12 Learning a new object class

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