Model Training for Tiny Machine Learning
The integration of machine learning (ML) and embedded systems is referred to as tiny machine learning (TinyML), which aims to achieve intelligent functions on ultra-low power devices. Such devices are typically bound by computation and memory; however, with the help of sensors, they can physically monitor the surroundi...