explanation
Create your own self-driving car | Deep Learning, OpenCV, C++ is an IoT training course focused on self-driving cars published by Udemy Academy. This course uses a variety of technologies, including Raspberry Pi computer boards, Arduino UNO boards, image processing technologies, virtual neural networks, and machine learning technologies, and uses each of these tools in the Internet world. You will find out about things. Machine learning and artificial intelligence are two modern evolving technologies that will have many career opportunities in the near future.
The development of an IoT-based system has specific, separate steps and processes that you will learn about in all these processes. Among the most important topics covered in this course are hardware design, initial installation of Raspberry Pi and Arduino boards, establishing communication links between the device and different parts of the car, image processing using OpenCV4, various techniques machine learning and…
What you will learn from building your own self-driving car | Deep learning, OpenCV, C++
- Initial installation of Raspberry Pi board version 3 for various IoT projects
- Build an image processing system using OpenCV4 and implement it on various platforms
- Troubleshoot IoT-related hardware and software projects
- Installing the Arduino UNO board as a simple microcontroller
- Various techniques for developing machine learning-based systems
- Complete understanding of the product development process
Course specifications
Publisher: Udemy
teacher: Rajandeep Singh
Language:English
Level: Beginner~Advanced
Number of classes: 46
Duration: 5 hours 33 minutes
course topic
Create your own self-driving car | Deep learning, OpenCV, C++ prerequisites
Basic understanding of C or C++
Basic understanding of digital logic
Basic understanding of soldering and breadboard prototyping.
movie
Create your own self-driving car | Deep learning, OpenCV, C++ introduction video
installation manual
After extracting, watch with your favorite players.
English subtitles
Quality: 720p
download link
File password: free download software
size
3.66GB