Current Jetson Nano image is based on Ubuntu distro, This project will try to deploy a opensuse version. Furthermore, I will take a closer look on deep learning framework, and learn how they use hardware accelerator.
First, boot up Jeston nano with Ubuntu, and deploy Tensorflow(Keras), Pytorch(Caffee2), MXNet, the most popular DL framework today, on it. Understand how those frameworks take advantage of hardware accelerator.
Second, build a new image with our kernel and rootfs.
Last, try to install DL frameworks from our ARM64 repo, checking current status.
This project is one of its kind!