Archives for microcontrollers
Machine learning in embedded systems allows the use of that data in automated business processes to make more educated predictions. Running machine learning models on embedded devices is generally known as embedded machine learning. Machine learning leverages a large amount of historic data to enable electronic systems to learn autonomously and use that knowledge for…
The post A Beginner’s Guide To Machine learning For Embedded Systems appeared first on Analytics India Magazine.
TensorFlow Lite has emerged as a popular platform for running machine learning models on the edge. A microcontroller is a tiny low-cost device to perform the specific tasks of embedded systems. In a workshop held as part of Google I/O, TensorFlow founding member Pete Warden delved deep into the potential use cases of TensorFlow Lite…
The post How TensorFlow Lite Fits In The TinyML Ecosystem appeared first on Analytics India Magazine.