Computer Vision for AI - Course Outline

Detailed Course Outline for Computer Vision for AI course. The course covers a wide range of topics, including digital image fundamentals, machine learning integration, neural network foundations, convolutional neural networks, advanced neural architectures, object detection, video analysis, generative models, and ethical implications. Students will engage in various lab exercises and hands-on activities to implement and experiment with computer vision solutions, preparing them for practical applications in the field. The course spans 16 weeks, with a total of 96 contact hours, and includes lectures, labs, and final project presentations.

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