IoT Projects with NVIDIA Jetson Nano (1st Edition)

AI-Enabled Internet of Things Projects for Beginners

IoT Projects with NVIDIA Jetson Nano  (1st Edition)
Agus Kurniawan
RRP:
NZ$ 84.99
Our Price:
NZ$ 67.99
Paperback
h235 x 155mm - 112pg
22 Dec 2020 US
International import eta 7-19 days
9781484264515
Out Of Stock
Currently no stock in-store, stock is sourced to your order
Explore the capabilities of the NVIDIA Jetson Nano, an IoT device designed to perform computations like a computer desktop. This book will show you how to build your first project and optimize your devices, programs, and daily activities with the AI computation abilities of the Jetson Nano. This board consists of CPU Quad-core ARM A57 @ 1. 43 GHz and GPU 128-core Maxwell. With this hardware specification, the board can run multiple neural networks in parallel for complex AI applications. With the integrated sensor and actuators, this board enables stronger IoT solutions and provides more advanced capabilities. Discover how develop complex IoT projects with the Jetson Nano today. What You' ll LearnSet up NVIDIA Jetson Nano deviceBuild applications like image classification, object detection, segmentation, and speech processingUse the Jetson Nano to process daily computer activities such as browsing the internet, checking emails, or playing music and videosImplement machine learning computations into your projects Who This Book Is For Makers, developers, students, and professional of all levels who are new to the NVIDIA Jetson Nano technology.
Agus Kurniawan is a lecturer, IT consultant, and author. He has 15 years of experience in various software and hardware development projects, delivering materials in training and workshops, and technical writing. He has been awarded the Microsoft Most Valuable Professional (MVP) award 16 years in a row. Agus is a lecturer and researcher in the field of networking and security systems at the Faculty of Computer Science, Universitas Indonesia, Indonesia. He can be reached on his Linkedin at @agusk and Twitter at @agusk2010.

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