[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
Hi developers. I am trying to execute the training and inference tutorials in Arduino Nano BLE Sense Rev2 board. Can you kindly guide how to continue? Moreover can you please provide any procedure how to build the project for custom models for any ARM Cortex M4 or M7 board? Thanks!
Hi developers. I am trying to execute the training and inference tutorials in Arduino Nano BLE Sense Rev2 board. Can you kindly guide how to continue? Moreover can you please provide any procedure how to build the project for custom models for any ARM Cortex M4 or M7 board? Thanks!