[ 536AIBAHO1K19 ] KV Hands-on AI I

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Computer Science Sepp Hochreiter 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2019W
Objectives 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.
  • 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
Criteria for evaluation
Language English
Changing subject? No
On-site course
Maximum number of participants -
Assignment procedure Direct assignment