Machine learning for OpenCV : advanced methods and deep learning

✍ Scribed by Michael Beyeler

Publisher: Packt Publishing
Year: 2018
Tongue: English
Leaves: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"A practical introduction to the world of machine learning and image processing using OpenCV and Python. Computer vision is one of today's most exciting application fields of Machine Learning, From self-driving cars to medical diagnosis, computer vision has been widely used in various domains. This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with Read more...

Abstract: "A practical introduction to the world of machine learning and image processing using OpenCV and Python. Computer vision is one of today's most exciting application fields of Machine Learning, From self-driving cars to medical diagnosis, computer vision has been widely used in various domains. This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with neural networks and Deep Learning to address real-world problems. The course will also guide you through creating custom graphs and visualizations, and show you how to go from raw data to beautiful visualizations. By the end of this course, you will be ready to create your own ML system and will also be able to take on your own machine learning problems."--Resource description page

✦ Subjects

OpenCV (Computer program language);Machine learning.;Computer vision.;Python (Computer program language);Information visualization.

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