TinyML Cookbook - Second Edition

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Getting Ready to Unlock ML on Microcontrollers

Here we are – on the first step that marks the beginning of our journey into the world of tinyML.

We will start this chapter by giving an overview of this rapidly emerging field, discussing the opportunities and challenges of bringing machine learning (ML) to low-power microcontrollers.

After this introduction, we will delve into the fundamental elements that make tinyML unique from traditional ML in the cloud, on desktops, or even on smartphones. We will revisit some basic ML concepts and introduce new fundamental ones specific to this domain, regarding power consumption and microcontroller development. Don’t worry if you are new to embedded programming. In this chapter and the next, we will ...