Computer Vision, 6 credits

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Start of studies

No occasions planned

Form of education

Language

Period

Cancelled
Admission requirements

Admission to the course requires 6 completed credits in Machine Learning. English 6.

The course aims to provide students with advanced knowledge and practical skills in computer vision, especially learning-based (deep learning) methods. Students learn how visual information is formed, represented and processed, and how to design, implement and evaluate computer vision pipelines in real-world applications relevant to machine learning, sensors and systems.

Admission requirements

Admission to the course requires 6 completed credits in Machine Learning. English 6.

Level

A1N

Course code

ET2635

Course director
Saleh Javadi
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