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This course provides an overview of computer vision on modern Intel® architecture. Topics include:
- Understanding how to use computer vision in industry
- Learning the main algorithms for image processing
- Exploring how machine learning is used in computer vision
By the end of this course, students will have practical knowledge of:
- Different techniques to process, transform, and classify images
- How to apply deep learning to visual tasks
- Important computer vision methods, such as image segmentation and edge extraction
The course is structured around eight weeks of lectures and exercises. Each week requires three hours to complete.
Prior Knowledge
- Python programming
- Calculus
- Linear algebra