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Author Kurniawan, Agus, 1984- author.

Title IoT projects with NVIDIA Jetson Nano : AI-enabled Internet of Things projects for beginners / Agus Kurniawan. [O'Reilly electronic resource]

Edition First edition.
Publication Info. [New York, NY] : Apress, [2021]
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Description 1 online resource
text file
PDF
Note Includes index.
Summary 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. You will: Set up NVIDIA Jetson Nano device Build applications like image classification, object detection, segmentation, and speech processing Use the Jetson Nano to process daily computer activities such as browsing the internet, checking emails, or playing music and videos Implement machine learning computations into your projects.
Contents Chapter 1: Introduction to NVIDIA Jetson Nano -- Chapter 2: Setting Up and Running -- Chapter 3: Administering NVIDIA Jetson Nano -- Chapter 4: NVIDIA Jetson Nano Programming -- Chapter 5: NVIDIA Jetson Nano I/O Programming -- Chapter 6: NVIDIA Jetson Nano Camere -- Chapter 7: Deep Learning Computation.
Subject NVIDIA Corporation.
NVIDIA Corporation
Internet of things.
Artificial intelligence.
Artificial Intelligence
Internet des objets.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Internet of things
Other Form: Print version: 1484264517 9781484264515 (OCoLC)1191238066
ISBN 9781484264522 (electronic bk.)
1484264525 (electronic bk.)
9781484264539 (print)
1484264533
Standard No. 10.1007/978-1-4842-6452-2 doi
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