Machine Learning for Computer Vision
Using the complete machine learning pipeline in computer vision, this course teaches students how to use MATLAB for object detection and classification in images.
Description for Machine Learning for Computer Vision
Features of the Course:
Practical Computer Vision Tasks: Concentrates on two fundamental computer vision tasks�image categorization and object detection�implemented in real-world contexts.
Comprehensive Machine Learning Workflow: Encompasses the full spectrum from data preparation to model evaluation, offering an exhaustive methodology for computer vision applications.
MATLAB-Centric Learning: MATLAB, is a prevalent tool in engineering and science, with complimentary access granted throughout the course duration.
Recommended Prerequisite Knowledge: Previous expertise in image processing is advantageous; the course recommends completing the Image Processing for Engineering and Science specialty for novices.
Level: Beginner
Certification Degree: Yes/No
Languages the Course is Available: 21
Offered by: On Coursera provided by MathWorksDuration: 11 hours (approximately)
Schedule: Flexible
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