معلومات المقرر

Lehrinhalte
Types of deep (neural) networks, regression estimation with deep neural networks, image classification with deep convolutional networks, pattern recognition with deep Transformer networks

Voraussetzungen
Probability theory (Introduction to Stochastics is not sufficient, Mathematical Statistics is not required)

Online-Angebote
moodle

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