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Instructors: Prof. Dr. rer. nat. Michael Kohler; M.Sc. Alisha Jessica Lilli Sänger
Event type:
Lecture & Exercise
Org-unit: Dept. 04 - Mathematics
Displayed in timetable as:
04-10-0613-vu
Subject:
Crediting for:
Hours per week:
6
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Course Contents:
Types of deep (neural) networks, regression estimation with deep neural networks, image classification with deep convolutional networks, pattern recognition with deep Transformer networks
Literature:
Goodfellow, Bengio, Courville: Deep Learning.
Györfi, Kohler, Krzyzak, Walk: A distribution - free theory of nonparametric regression
Preconditions:
Probability theory (Introduction to Stochastics is not sufficient, Mathematical Statistics is not required)
Online Offerings:
moodle
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