The attached labs provide a step-by-step guide on how to use the new eIQ for Glow Neural Network compiler with a handwritten digit recognition model example. This new compiler tool turns a model into an machine executable binary for a targeted device. Both the model and the inference engine are compiled into a binary that is generated, which can decrease both inference time and memory usage. That binary can then be integrated into an MCUXpresso SDK software project.
The eIQ Glow for RT1060 Lab.pdf can be used with the RT1060, RT1050, RT1170, or with a few minor modifications, the RT1064.
The eIQ Glow for RT685 Lab.pdf can be used with the RT685.