Machine Perception

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.

AVAILABLE
READING ROOM ONLY
NOT AVAILABLE
ONLINE VERSION
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Deep learning

Ian Goodfellow, Yoshua Bengio and Aaron Courville

Signature Year Rack/Shelf Lecture Return Date Status
Textbook.M.153.02.1 2016 12 / 5 Virtual Humans Available
Textbook.M.197.01.1 2016 11 / 3 Machine Perception Available
Textbook.M.197.01.2 2016 11 / 3 Machine Perception Available
Textbook.M.197.01.3 2016 11 / 3 Machine Perception Available
Textbook.M.022.03.2 2016 9 / 4 Computer Vision Available
Textbook.M.022.03.3 2016 9 / 4 Computer Vision Available
Textbook.M.022.03.4 2016 9 / 4 Computer Vision Available
Textbook.M.153.02.2 2016 12 / 5 Virtual Humans Unavailable
Textbook.M.197.01.4 2016 11 / 3 Machine Perception 14.11.2024 Unavailable
Textbook.M.022.03.1 2016 9 / 4 Computer Vision 3.12.2024 Unavailable