IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners

Author:   Agus Kurniawan
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484264515


Pages:   123
Publication Date:   11 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners


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Overview

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 Learn 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 Who This Book Is For Makers, developers, students, and professional of all levels who are new to the NVIDIA Jetson Nano technology.

Full Product Details

Author:   Agus Kurniawan
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.454kg
ISBN:  

9781484264515


ISBN 10:   1484264517
Pages:   123
Publication Date:   11 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Introduction to NVIDIA Jetson Nano Chapter goal: to introduce NVIDIA Jetson Nano hardware and software1.1 Introduction1.2 NVIDIA Jetson Nano Hardware Specification1.3 What can we do with NVIDIA Jetson Nano Chapter 2: Setting Up and RunningChapter goal: to set up and run NVIDIA Jetson Nano2.1 Introduction2.2 Hardware Preparation2.3 Set up Software2.4 Run NVIDIA Jetson Nano2.5 Configure NVIDIA Jetson Nano Software2.6 Reboot and Shutdown Chapter 3: Administering NVIDIA Jetson NanoChapter goal: to administer NVIDIA Jetson Nano3.1 Introduction3.2 Managing Users3.3 Desktop Personalization3.4 Working with Terminal3.7 NVIDIA Jetson Nano Linux Command3.8 Networking3.9 Attaching a Network Module3.10 Connecting to a Network3.10.1 Connecting a Network via Ethernet3.10.2 Connecting a Network via WiFi with3.10.3 Connecting a Network via WiFi USB Dongle3.11 Browsing Internet3.12 SSH3.13 Access Remote Files over SFTP3.14 Update Package Repository3.15 Remote Desktop Chapter 4: NVIDIA Jetson Nano ProgrammingChapter goal: to develop programs on NVIDIA Jetson Nano4.1 Introduction4.2 Python4.3 C/C++4.4 Node.js4.5 Web Application with PHP Chapter 5: NVIDIA Jetson Nano I/O ProgrammingChapter goal: to develop programs to access NVIDIA Jetson Nano I/O5.1 Introduction5.2 Accessing GPIO5.3 Sensor Programming5.4 Actuator Programming Chapter 6: NVIDIA Jetson Nano CamereChapter goal: to work with camera on NVIDIA Jetson Nano board6.1 Introduction6.2 Camera Interfaces and Modules6.3 Set Up Camera Module6.4 Take Picture6.5 Record Video Chapter 7: Deep Learning ComputationChapter goal: to build Deep Learning programs on NVIDIA Jetson Nano I/O7.1 Introduction7.2 A Brief Deploying Deep Review 7.3 Jetson Inference7.4 Data Classification7.5 Data Regression

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Author Information

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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