TensorFlow Lite Micro with ML acceleration

Posted by Scott Main, Technical Writer, and the Coral team

In just a few years, ML models for mobile and embedded systems have come a very long way. With TensorFlow Lite (TFLite), you can now run sophisticated models that perform pose estimation and object segmentation, but these models still require a relatively powerful processor and a high-level OS in a mobile device or small computer like a Raspberry Pi. Alternatively, you can use TensorFlow Lite Micro (TFLM) on low-power microcontrollers …

audio classification computer coral embedded image low microcontrollers ml models mobile mobile device power processor scott segmentation small systems team technical tensorflow tensorflow-lite tinyml writer