Description
Jetson Nano Boot Camp, Jetson Nano Development Board Training Course with Machine Learning Project, Python, OpenCV is published by Udemy Academy. Nowadays, image processing, computer vision and Python programming language have become very popular. In order to realize our own machine learning projects, we will do the machine learning project with Jetson Nano, which is a powerful artificial intelligence computer. In this article, we will learn about Python, image processing and machine learning. Of course, we start with Python and learn the basics of Python well.
Next, we will discuss image processing. We will learn the basics of the OpenCV library, which has been developed for a long time, and use machine learning to detect objects in real time with the software. Of course, in addition to detecting objects, we can also control the Arduino board according to the detected object. Thanks to the school crossing sign project included in this course, we will detect our school crossing sign with the Jetson Nano board and then speed it according to the school crossing sign where we detect our DC motor and We connect to the Arduino board, we will reduce. Since this course was created as a result of years of academic and technical experience, after completing the course you can do your own machine learning projects with Jetson Nano.
What you will learn
- Jetson Nano
- OpenCV
- Object detection
- Arduino
- Gpio
- Python principles and
- Serial communication
Who is this course suitable for?
- For engineering students (EEE, CE etc.),
- Interested in machine learning (ML),
- Interested in computer vision (OpenCV module) and
- Interested in artificial intelligence computer (Jetson Nano).
Details of the Jetson Nano Boot Camp course
- Publisher: Udemy
- teacher : Yılmaz Alaka
- English language
- Education level: all levels
- Number of courses: 90
- Training duration: 5 hours and 59 minutes
Head of the course chapters on 2022-5
Course prerequisites
- work hard
- Tenacity and
- Interest.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
2.02 GB
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