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CEN 462 Introduction to Computer Vision
Topics include linear classifiers, multi-layer neural networks, back-propagation, stochastic gradient descent, convolutional neural networks (CNNs) and their applications in computer vision, including object detection and dense image labeling. Additionally, generative models such as generative adversarial networks (GANs) and diffusion models are covered.
