Chapter goal: to introduce NVIDIA Jetson Nano hardware and software
1.1 Introduction
1.2 NVIDIA Jetson Nano Hardware Specification
1.3 What can we do with NVIDIA Jetson Nano
Chapter 2: Setting Up and Running
Chapter goal: to set up and run NVIDIA Jetson Nano
2.1 Introduction
2.2 Hardware Preparation
2.3 Set up Software
2.4 Run NVIDIA Jetson Nano
2.5 Configure NVIDIA Jetson Nano Software
2.6 Reboot and Shutdown
Chapter 3: Administering NVIDIA Jetson Nano
Chapter goal: to administer NVIDIA Jetson Nano
3.1 Introduction
3.2 Managing Users
3.3 Desktop Personalization
3.4 Working with Terminal
3.7 NVIDIA Jetson Nano Linux Command
3.8 Networking
3.9 Attaching a Network Module
3.10 Connecting to a Network
3.10.1 Connecting a Network via Ethernet
3.10.2 Connecting a Network via WiFi with
3.10.3 Connecting a Network via WiFi USB Dongle
3.11 Browsing Internet
3.12 SSH
3.13 Access Remote Files over SFTP
3.14 Update Package Repository
3.15 Remote Desktop
Chapter 4: NVIDIA Jetson Nano Programming
Chapter goal: to develop programs on NVIDIA Jetson Nano
4.1 Introduction
4.2 Python
4.3 C/C++
4.4 Node.js
4.5 Web Application with PHP
Chapter 5: NVIDIA Jetson Nano I/O Programming
Chapter goal: to develop programs to access NVIDIA Jetson Nano I/O
5.1 Introduction
5.2 Accessing GPIO
5.3 Sensor Programming
5.4 Actuator Programming
Chapter 6: NVIDIA Jetson Nano Camere
Chapter goal: to work with camera on NVIDIA Jetson Nano board
6.1 Introduction
6.2 Camera Interfaces and Modules
6.3 Set Up Camera Module
6.4 Take Picture
6.5 Record Video
Chapter 7: Deep Learning Computation
Chapter goal: to build Deep Learning programs on NVIDIA Jetson Nano I/O
7.1 Introduction
7.2 A Brief Deploying Deep Review
7.3 Jetson Inference
7.4 Data Classification
7.5 Data Regression
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.
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