Machine Perception
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Otmar Hilliges, Manuel Kaufmann, Xi Wang
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Spring Semester
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Location: rack 11, shelf 2
Recent developments in neural networks have drastically advanced the performance of machine perception systems in a variety of areas including computer vision, robotics, and human shape modeling.
This course is a deep dive into deep learning algorithms and architectures with applications to a variety of perceptual and generative tasks.
![]() READING ROOM ONLY
NOT AVAILABLE
![]() ![]() Deep learningIan Goodfellow, Yoshua Bengio and Aaron Courville
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