Deep Learning and Computer Vision A-Z + Prizes
Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.
4.38 (6775 reviews)
50 674
students
11 hours
content
Mar 2025
last update
$99.99
regular price
What you will learn
Have a toolbox of the most powerful Computer Vision models
Understand the theory behind Computer Vision
Master OpenCV
Master Object Detection
Master Facial Recognition
Create powerful Computer Vision applications
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Our Verdict
The Deep Learning and Computer Vision A-Z + Prizes course on Udemy offers a comprehensive overview of various Computer Vision tools and techniques, with clear theoretical explanations and practical examples. However, the coding portion may be challenging for beginners due to its structure and reliance on outdated codes and libraries. To fully benefit from this course, learners should have a solid understanding of programming concepts and be comfortable troubleshooting technical issues. With 50645 subscribers and an average rating of 4.36 out of 5 stars, this course is still a popular and useful resource for those interested in Computer Vision, despite some minor drawbacks.
What We Liked
- Covers a wide range of Computer Vision tools and techniques, providing a comprehensive toolbox for learners
- The theoretical explanations are clear and detailed, making it easier to understand the concepts behind Computer Vision
- Includes practical examples and exercises that help reinforce learning and provide hands-on experience with OpenCV, Object Detection, and Facial Recognition
Potential Drawbacks
- The coding portion of the course can be confusing for beginners due to the lack of structured explanation and reference to theoretical concepts
- Some users have reported issues installing dependencies and running the provided code, which may require manual intervention or advanced technical skills
- While there are recent updates to the course, some parts may still be outdated and require additional research or resources to stay current with the latest tools and techniques
1357844
udemy ID
22/09/2017
course created date
09/06/2019
course indexed date
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