Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware

R. Kanda, H. L. Blevec, N. Onizawa +3

In this study, we propose an implementation methodology of real-time few-shot learning on tiny FPGA SoCs such as the PYNQ-Z1 board with arbitrary fixed-point bit-widths. Tensil-bas…