Description
Neural-network models can be run through a high-performance inference framework optimized for mobile and embedded platforms. It is useful for developers deploying computer vision or AI features on constrained hardware.
Inference frameworks process model files and input data that may be sensitive. Validate model sources, benchmark on target devices, and document accuracy limits.