(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
3 ECTS
B1 - Bachelor 1. Jahr
Informatik
Sepp Hochreiter
2 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Bachelorstudium Artificial Intelligence 2019W
Ziele
(*)Hands-on AI I provides a first direct contact with modern AI approaches. The focus of this course is mainly put on Deep Learning and Reinforcement Learning techniques. Objectives are practical applications and getting an overview of newest Deep Learning approaches. All of the shown techniques will be taught in much greater detail later in the studies.
Lehrinhalte
(*)
Reading-in of datasets, visualize
Using Deep Learning frameworks like Pytorch
Playing around with the first Artificial Neural Networks
Vanishing gradient problem, visualization and solutions
Testing and playing around with various different Deep Learning architectures, e.g. Convolutional Neural Networks, LSTM, Autoencoders, Generative Adversarial Networks, ...
Looking at simple Reinforcement Learning problems
Looking at latest Reinforcement Learning problems and applying Deep Learning techniques
