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