(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
1,5 ECTS
B1 - Bachelor 1. Jahr
Artificial Intelligence
Johannes Brandstetter
1 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Bachelorstudium Artificial Intelligence 2020W
Ziele
(*)Hands-on AI I provides a first direct contact with various AI approaches (no previous knowledge is required). The focus of this course is mainly put on Artificial Neural Networks and Deep Learning. Objectives are practical applications and getting an overview of Deep Learning approaches. All of the shown techniques will be taught in much greater detail later in the studies.
Lehrinhalte
(*)
Handling and understanding of different kinds of data sets
Visualization, dimensionality reduction and clustering of data
Moving from Linear Regression to Logistic Regression and Artificial Neural Networks
Understanding gradient descent
Using Deep Learning frameworks like PyTorch
Playing around with the first Artificial Neural Networks
Introducing Convolutional Neural Networks
Tips and tricks for making networks learn (batch normalization, dropout, transfer learning, etc.)
Beurteilungskriterien
(*)Online Exams
Abhaltungssprache
Englisch
Lehrinhalte wechselnd?
Nein
Äquivalenzen
(*)in collaboration with 536AIBAHO1U20: UE Hands-on AI I (1.5 ECTS) equivalent to 536AIBAHO1K19: KV Hands-on AI I (3 ECTS)
