Deep Learning on Embedded Systems: A Hands-On Approach Using Jetson Nano and Raspberry Pi
Deep Learning on Embedded Systems offers a hands-on introduction to working with deep learning on Jetson Nano and Raspberry Pi. Written by Tariq M. Arif, this book connects embedded hardware with accessible learning and experimentation for readers exploring practical applications of embedded AI.
About This Book
Deep Learning on Embedded Systems presents a hands-on approach to learning deep learning with compact computing platforms.
The book focuses on Jetson Nano and Raspberry Pi, two devices associated with accessible embedded-system experimentation.
It is suited to readers interested in connecting deep learning concepts with practical work on embedded hardware.
Tariq M. Arif guides the subject through a technology-focused lens for learners exploring embedded AI and applied computing.
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