(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
B1 - Bachelor 1. Jahr
Artificial Intelligence
Johannes Brandstetter
2 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Bachelorstudium Artificial Intelligence 2020W
Ziele
(*)Hands-on AI II is the immediate continuation of Hands-on AI I (having completed Hands-on AI I is thus highly recommended). The focus of this course is mainly on applied Deep Learning and Reinforcement Learning methods in, e.g., Bioinformatics and Natural Language Processing. The goal of this course is put on practical applications and getting an overview of newest AI approaches. All of the shown techniques will be taught in much greater detail later in the studies.
Lehrinhalte
(*)
Vanishing gradient problem, visualization and remedies
Testing and playing around with various different Deep Learning architectures, e.g., Convolutional Neural Networks, Recurrent Neural Networks, LSTM, etc.
Interacting with new fields such as Bioinformatics and Natural Language Processing
Looking at simple Reinforcement Learning problems
Beurteilungskriterien
(*)Online Assignments
Abhaltungssprache
Englisch
Lehrinhalte wechselnd?
Nein
Äquivalenzen
(*)in collaboration with 536AIBAHO2V20: VL Hands-on AI II (1.5 ECTS) equivalent to 536AIBAHO2K19: KV Hands-on AI II (4.5 ECTS)
