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.
Subject
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 Exams
Language
English
Changing subject?
No
Corresponding lecture
in collaboration with 536AIBAHO2U20: UE Hands-on AI II (3 ECTS) equivalent to 536AIBAHO2K19: KV Hands-on AI II (4.5 ECTS)
