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Learn to build ultra-tiny machine learning models using Neuton's unique neural network framework that creates models 10x smaller than competing frameworks like TensorFlow and PyTorch. Discover how to develop Edge AI capabilities for any wireless System-on-Chip (SoC), from flagship devices like the nRF54L15 to highly constrained hardware such as the nRF52805. Master the complete workflow from data collection and dataset preparation to building highly optimized models that deliver superior accuracy, faster inference, and lower power consumption while occupying as little as single-digit kilobytes of memory. Follow along with a hands-on demonstration of gesture remote control implementation and gain practical experience using Neuton's online tool for model creation. Participate in a live Q&A session with the Neuton development team to get direct insights into the technology behind these breakthrough ultra-lightweight AI models.
Syllabus
00:00 Intro and hardware overview
03:00 Demo: gesture remote control
06:30 Collecting and preparing a dataset
25:40 Building AI models with Neuton’s online tool
47:05 Q&A with the Neuton developer team
Taught by
Nordic Semiconductor