Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: one course from course C124, 145, M146, M148, 161, 162, Electrical and Computer Engineering C147, or 149. Computer vision has been a core field of artificial intelligence, facilitating a wide range of applications from image search to self-driving. The progress of deep learning has greatly advanced the performance of visual tasks like visual recognition and image generation. Study of deep learning approaches for computer vision. Students learn to implement and tune the deep neural networks used in various computer vision, such as visual recognition and image generation. Covers learning algorithms, neural architecture design, and practical skills of training and debugging neural networks. Letter grading.