Inhalt

[ 993SEPTPRWP19 ] PR Practical Work in AI (Master)

Versionsauswahl
Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Artificial Intelligence 2023W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
7,5 ECTS M2 - Master's programme 2. year Computer Science Sepp Hochreiter 5 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2019W
Objectives The objective of this subject is that students acquire advanced practical skills in Artificial Intelligence. Examples are to apply Feed-Forward Neural Networks, Recurrent Neural Networks, Generative Adverserial Networks, Probabilistic Models, Support Vector Machines, Kernel Methods, Convolutional Neural Networks, Reinforcement Learning Techniques, and similar methods to different tasks and applications. Topics of the practical work can also be taken from the Elective Tracks and other fields of AI.
Criteria for evaluation
Language English
Changing subject? No
On-site course
Maximum number of participants 15
Assignment procedure Direct assignment