19304201
Lecture
WiSe 20/21: Pattern recognition / Machine Learning
Tim Landgraf
Additional information / Pre-requisites
Prerequisites: Basic knowledge in Mathematics and Algorithms and Data structures.
Comments
Contents: Bayesian methods of pattern recognition, clustering, expectation maximization, neuronal networks and learning algorithms, associate networks, recurrent networks. Computer-vision with neuronal networks, applications in Robotics.
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15 Class schedule
Additional appointments
Mon, 2021-01-04 10:00 - 13:00Klausur Mustererkennung / Machine Learning
Location:
Virtueller Raum 09
Klausur
Regular appointments
Mon, 2020-11-02 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-11-09 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-11-16 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-11-23 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-11-30 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-12-07 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2020-12-14 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-01-04 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-01-11 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-01-18 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-01-25 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-02-01 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-02-08 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-02-15 10:00 - 12:00
Mustererkennung / Machine Learning
Mon, 2021-02-22 10:00 - 12:00
Mustererkennung / Machine Learning