5/16/2023 0 Comments Unsend email with cryptextenables the quick and easy development of Machine Learning capabilities into any C code.abstracts away all aspects of Machine Learning and data science.NanoEdge AI Studio ( NanoEdgeAIStudio), also referred to as the Studio, Therefore, a tool is needed to find the best possible library for each project. This results in a very large number of potential combinations, each one being tailored for a specific use-case (one static libraries for each combination). NanoEdge AI Libraries contains a range of Machine Learning models, and each of these models can be optimized by tuning a wide range of hyperparameters. 2 Purpose of NanoEdge AI Studio 2.1 What the Studio can do require no Machine Learning expertise to be deployedĪll NanoEdge AI Libraries are created by using NanoEdge AI Studio.preserve the stack (static allocation only).can be integrated into existing code / hardware.run directly within the microcontroller.ultra fast (1-20 ms inference on Cortex ®-M4 at 80 MHz).ultra memory efficient (1-20 Kbytes of RAM/flash memory). ultra optimized to run on MCUs (any Arm ® Cortex ®-M).Here are the most important features of the NanoEdge AI Libraries: Extrapolation (E) libraries are used to estimate an unknown target value using other know parameters, using a static (regression) model.įor more information about their uses and specificities, see their respective documentations:.
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