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Johns Hopkins University | EN.600.682

Deep Learning for Image Understanding

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This course discusses advanced topics on the recent progresses using deep learning,specifically deep convolutional neural networks in computer vision and medical image analysis.Topics will be selected from most recent papers from CVPR/ICCV/ArXiv/NIPS/MICCAI, with the core focus on object/scene recognition, object detection, domain transfer learning and computer-aided diagnosis. This course is targeted toward graduate students who are interested in mastering the understanding of the recent massive amount of literature and applying the skills to a course project (with lectures, paper reading, in-class presentation & discussion and a final research project).[Applications]

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