IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners | 誠品線上

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

內容簡介

內容簡介 Chapter 1: Introduction to NVIDIA Jetson NanoChapter 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 NanoChapter 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 ShutdownChapter 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 DesktopChapter 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 PHPChapter 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 ProgrammingChapter 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 VideoChapter 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

作者介紹

作者介紹 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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