Hands-On Machine Learning with OpenCV 4
What you'll learn
- Become more experienced with using OpenCV and its vast in-built functionalities.
- Apply various Machine Learning algorithms to real-life problems.
- Explore Supervised Learning and Unsupervised Learning approaches in Computer Vision.
- Master the standard template/pipeline while designing ML solutions.
- Work with various datasets and visualize them.
- Get familiar with multiple ways to perform real-time object detection.
- Train your own custom image classifier using Convolutional Neural Networks.
Course content
- Preview03:27
- 04:10Introduction to Machine Learning in Computer Vision
- 03:08Setting Up the Development Environment
Requirements
- If you have some understanding of Python and OpenCV and want to learn about real-life applications of machine learning via working examples that use ML algorithms, this course is for you!
Description
Computer Vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems for which Machine Learning-based solutions provide significantly better results than traditional ad-hoc approaches. The application of Machine Learning and Deep Learning is rapidly gaining significance in Computer Vision.
All the latest tech—from self-driving cars to autonomous drones—uses AI running on images and videos. If you want to get your hands dirty with this technology and use it to craft your own unique solutions, then look no further because this course is perfect for you!
This hands-on course will immerse you in Machine Learning, and you'll learn about key topics and concepts along the way. This course is perfect for people who wish to explore the possibilities inherent in Machine Learning.
About the Author
Colibri Digital is a technology consultancy company founded in 2015 by James and Ingrid Cross. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, Machine Learning, and cloud computing.
Over the past few years, they have worked with some of the World's largest and most prestigious companies, including tier 1 investment banks, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.
At the frontier of AI, big data and cloud computing, we are Colibri Digital.
Sourav Johar has over two years' experience with OpenCV and over 3 years' experience coding in Python. He has also developed an open-source library, which is built on top of OpenCV. Along with this, he has developed several Machine Learning and Deep Learning solutions, using OpenCV for video analysis.
As a Computer Vision enthusiast, he completely understands the problems students face. He is very passionate about programming and enjoys making programming tutorials on YouTube. He is currently working for Colibri Digital (@colibri_digital) as an instructor.
Who this course is for:
- This course targets Python developers who want to use OpenCV and apply it to machine learning for Computer Vision. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning. This course can be used as a generic resource to bridge the gap from beginner to mastering computer vision implementations in machine learning.
Instructor
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- 3.9 Instructor Rating
- 59,016 Reviews
- 354,400 Students
- 1,418 Courses
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