(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
M1 - Master 1. Jahr
Artificial Intelligence
Günter Klambauer
2 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Masterstudium Artificial Intelligence 2021W
Ziele
(*)Deep learning is a machine learning technique based on artificial neural networks. In this lecture, students will see more advanced insights, extensions and applications of deep learning, as well as discuss unsupervised deep learning techniques and open research questions. It is expected that students visiting this class already have a solid understanding of machine learning.
Lehrinhalte
(*)
Convolutional neural networks for classification, segmentation, and object detection
Generative and unsupervised Deep Learning
Variational autoencoders
Generative adversarial networks
Bayesian Deep Learning
Energy-based models
Deep Learning theory
Beurteilungskriterien
(*)Exam at the end of the semester
Lehrmethoden
(*)Slide presentations, discussions, and code examples
