[ 536AIBAHO2U20 ] UE (*)Hands-on AI II

(*) 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
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)
Teilungsziffer 35
Zuteilungsverfahren Direktzuteilung