Description
Build your own self-driving car | Deep Learning, OpenCV, C++ is an IoT training focused on self-driving cars published by Udemy Academy. In this training, you will use various technologies such as Raspberry Pi computer boards, Ardino UNO board, image processing technology, virtual neural networks, machine learning techniques, etc., and using each of these tools in the world of the Internet. You will become familiar with the objects. Machine learning and artificial intelligence are two evolving modern technologies that will provide many job opportunities in the near future.
The development of IoT-based systems has specific and distinct steps and processes that you will learn about in all of these processes. Some of the most important topics covered in this course include hardware design, initial installation of Raspberry Pi and Arduino boards, establishing communication links between devices and different parts of the car, image processing with OpenCV4, various machine learning techniques and… underlined.
What you’ll learn in Build Your Own Self-Driving Car | Deep learning, OpenCV, C++
- Initial installation of the Raspberry Pi version 3 board in various IoT projects
- Build image processing systems using OpenCV4 and implement them on various platforms
- Troubleshoot all IoT related hardware and software projects
- Installing the Ardino UNO board as a simple microcontroller
- Various techniques for developing machine learning-based systems
- Complete knowledge of the product development process
Course specifications
Publisher: Udemy
Instructors: Rajandeep Singh
French language
Level: Introductory to Advanced
Number of lessons: 46
Duration: 5 hours and 33 minutes
Course topics
Build 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 model prototyping
Pictures
Build your own self-driving car | Deep Learning, OpenCV, C++ introductory video
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download link
File password(s): ngaur.com
Cut
3.66 GB