Introducing TinyML
Throughout all the recipes presented in this book, we will give practical solutions for tiny machine learning, or, as we will refer to it, TinyML. In this section, we will learn what TinyML is and the vast opportunities it brings.
What is TinyML?
TinyML is the set of technologies in ML and embedded systems to make use of smart applications on extremely low-power devices. Generally, these devices have limited memory and computational capabilities, but they can sense the physical environment through sensors and act based on the decisions taken by ML algorithms.
In TinyML, ML and the deployment platform are not just two independent entities but rather entities that need to know each other at best. In fact, designing an ML architecture without considering the target device characteristics will make it challenging to deploy effective and working TinyML applications.
On the other hand, it would be impossible to design power-efficient processors to expand the...
