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Beginners Guide to Computer Vision: Computer vision tasks and more modern approaches which utilize deep learning. by Barry C. Glenn
English | May 22, 2021 | ISBN: N/A | ASIN: B095GD5SGG | 123 pages | MOBI | 0.22 Mb
So far, we've covered both traditional methods of solving computer vision tasks and more modern approaches which utilize deep learning.
There are more concepts, ideas and techniques to explore for both modern and traditional approaches to CV. The consensus of the industry is that deep learning is the dominant approach to solving computer vision tasks.
For those who want to explore the world of computer vision, deep learning topics and techniques are the favourable routes to take in terms of gaining practical and professional experience.
Nevertheless, it's always insightful to revisit the roots of computer vision and understand the intuitions of researchers and engineers had when developing traditional algorithms.
Shortly, I'll be writing an article that introduces deep learning in more depth.
For now, you can read the following articles to understand what a modern CV Engineer role looks like and what undertaking studies in machine learning and computer vision entails.
These are the course of your step-by-step projects to enhance your skills in computer vision. Advance your career in Computer Vision by enrolling in more than a few projects.
It would help you in the future by bookmarking the best Computer Vision projects for beginners to learn in 2021. Enroll and improve your key skillset in image segmentation, image processing, image classification, hand gesture recognition, object detection algorithms, object tracking algorithm, and more.
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