TinyML and Efficient Deep Learning on IoT Devices

Presentation at Duke University, NSF AI Institute for Edge Computing:
This video covers three TinyML papers:
1. MCUNet: Tiny Deep Learning on IoT Devices [NeurIPS’20]
2. MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning [NeurIPS’21]
3. Network Augmentation for Tiny Deep Learning [ICLR’22]

slides: https://www.dropbox.com/s/n1evxyszq70pftv/Duke%20Athena%20talk%20MCUNet.pdf?dl=0