This is the repository for my blog series Getting Started with the Jetson Nano.
It contains a setup script and Jupyter notebooks.
At present, documentation for these resources is on my blog.
- Getting Started with the Jetson Nano
- Getting Started with the Jetson Nano - Part 2 covers the initial boot and Ubuntu configuration.
- Getting Started with the Jetson Nano - Part 3 covers installing TensorFlow and other prerequisites, and lead you through training and testing a complete example.
I'll also be covering model import and transfer learning.
The Jupyter notebooks are simplified versions of existing examples; they contain details of the notebooks from which they were derived.
The code for setting up the Jupyter Lab as a service is adapted from the Jetbot project https://github.com/NVIDIA-AI-IOT/jetbot and is covered by the Jetbot license.
The code for setting the password is adapted with permission from original code written by Pieter de Rijk - pieter [at] de-rijk [dot] com at at https://github.com/paderijk/jupyter-password