Tiny Machine Learning Quickstart: Machine Learning for Arduino Microcontrollers

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2025

S. SalernoTiny Machine Learning QuickstartMaker Innovations Serieshttps://doi.org/10.1007/979-8-8688-1294-1_8

8. TensorFlow from Scratch

Simone Salerno¹  

(1)

Trani, Italy

 

So far, we’ve either implemented “traditional” machine learning with manual feature engineering and classifiers/regressors models or leveraged the low-code Edge Impulse platform to unleash the power of neural networks without digging into the nitty gritty details of code. But this book aims to turn you into a proficient TinyML practitioner, and it won’t be complete without a hands-on chapter on how to work with neural networks by writing code.

Several Python frameworks implement neural networks, ...