This course introduces students to computer vision concepts and methods. Students will learn how to conduct classification, detection, and recognition tasks. The course covers 1) the basics of computer vision, 2) machine learning (ML) models for vision, 3) Convolutional Neural Networks (CNN) and transformer architecture, 4) object detection and image segmentation, 5) autoencoders & image manipulation, 6) Generative Adversarial Networks for image creation, and 7) multi-input models.
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