A couple weeks ago during GTC, we announced our new Machine Learning @ Home Kit, designed to turn machine learning skills into action. We’re really excited about the opportunities the DLI Kit and course provides, and are excited to offer the next step into deployed projects.
The kit’s hookup guide will be a living document – one we’ll continue to update as more projects are created and shared with us by the community. Over the coming weeks, keep an eye out for some exciting news and fun opportunities (hint: start working on your questions)!
We had a great time sharing two presentations at this year’s GTC – a sneak peek of the kit and one of the projects that will be in the hookup guide. The videos should be available for you to watch soon even if you missed GTC this year. In the meantime, be sure to check out the keynote from NVIDIA CEO & Founder Jensen Huang:
Did you attend GTC this year? There were a ton of big announcements, which were you most excited about?
Curious about the kit?
Before trying out this kit, be sure to take the NVIDIA Deep Learning Institute (DLI) course “Getting Started with AI on Jetson Nano.” It’s a free, self-paced course that will allow you to learn foundational skills for the NVIDIA Jetson Nano Developer Kit. We created the Machine Learning @ Home Kit as a next step you can take into further developing your machine learning skills.
Since we’ve all spent a lot of time at home this past year, we wanted to take machine learning and apply it at home with the NVIDIA Jetson Nano and SparkFun Qwiic ecosystem. The kit brings machine output and interaction into the picture through a number of different SparkFun Qwiic boards.
The kit will be launching with a hookup guide that includes three different applications to help you put your knowledge to use! The project examples include a machine learning pet feeder, smart kitchen assistant, and personalized lighting/appliance controls.