Embedded Machine Learning

Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning

This book explores new developments, ideas, and concepts in intelligent edge-embedded technologies for the digitising industry. The work is based on recent research results and activities in edge industrial computing, artificial intelligence (AI), the Industrial Internet of Things (IIoT) and digital twin technologies. Each chapter builds on the research, developments and innovative ideas generated by AI4DI, ANDANTE and TEMPO ECSEL JU, as well as other European research projects.

The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machine interact with the real world, with other machines and humans during manufacturing processes. These advances allow industrial internet of things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators data.

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples

Key Features
Understand how to use PyTorch to build advanced neural network models including graph neural networks and reinforcement learning models

Embedded Systems overview. Learn MATLAB programming with MATLAB Graphics, GUI, GUIDE, Simulink, Fixed Point Arithmetic.