An excellent course for Jetson Nano owners
Recently I posted a series about how to started with the computer but NVIDIA have now published an excellent course, 'Getting Started with the Jetson Nano', which is free for members of the NVIDIA developers' program.
The course comes with a pre-built image which can run the Nano in headless mode. That's very useful - I had to buy a new monitor to get going, as none of my old monitors had native HDMI support.
The image provide with the course just needs a Nano and a Laptop or Desktop computer with a USB port.
The course is a great introduction to deep learning with a GPU. Once you've completed it you may want to delve deeper; there are lots of excellent Deep Learning courses available on-line, and many of them use Google's Colab for practical sessions.
Google Colab gives you free access to top-of-the range NVIDIA hardware, and if you want to run your trained models locally it's easy to move them onto the Nano. Of course the Nano is small enough to use for mobile robotics!
I'm designing an autonomous robot with the Nano, and I have been delighted with Adafruit's Nano port of their Blinka library. It makes it really easy to write Physical Computing code that runs without change on the Nano, the Raspberry Pi and Adafruit's CircuitPython-enabled boards.
Come and see the Nano
Tomorrow I'll be at the London Raspberry Pint meet-up showing a Nano driving Adafruit, Grove and SparkFun peripherals using a simple interface board (the babelboard) and some straightforward Python code.
If you're in or near London, do come along. The meet-up starts at 7 PM. It's at CodeNode, and you'll save a lot of time if you pre-register at the CodeNode site.
If you can't join us, a video of the talk will be available in a few days and I will be blogging more about the babelboard later this week.