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.
Subject
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
Online Exams
Language
English
Changing subject?
No
Corresponding lecture
in collaboration with 536AIBAHO1U20: UE Hands-on AI I (1.5 ECTS) equivalent to 536AIBAHO1K19: KV Hands-on AI I (3 ECTS)
