[ 536AIBAHO2U20 ] UE Hands-on AI II

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year (*)Artificial Intelligence Johannes Brandstetter 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2020W
Objectives 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.
  • 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
Criteria for evaluation Online Assignments
Language English
Changing subject? No
Corresponding lecture in collaboration with 536AIBAHO2V20: VL Hands-on AI II (1.5 ECTS) equivalent to
536AIBAHO2K19: KV Hands-on AI II (4.5 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment