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Seminar: Deep generative models (IN0014, IN2107, IN4907)

Course 0000004381 in SS 2019

General Data

Course Type seminar
Semester Weekly Hours 2 SWS
Organisational Unit Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Lecturers Azade Farshad
Nassir Navab
Ashkan Khakzar
Magdalini Paschali
Mahdi Saleh

Assignment to Modules

This course is not assigned to any module.

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The recent advances of generative models in Deep Learning will be studied in the Seminar Course. Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), adversarial learning and learning with adversaries compose the main topics of the seminar. A set of papers will cover the aforementioned topics. One or two lectures will be also offered to support the seminar.
Links TUMonline entry
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