eIQ software leverages inference engines, neural network compilers, optimized libraries and open-source technology allowing AI and ML enablement on edge nodes.
NXP’s eIQ™ Auto deep learning (DL) toolkit enables developers to introduce DL algorithms into their automotive-grade embedded designs.
This application note focuses on handwritten digit recognition on embedded systems through deep learning, using i.MX RT1060 MCUs, MCUXpresso SDK and eIQ™ technology.
This application note focuses on transfer learning and datasets. The theoretical part is general and device agnostic.