Representation Learning with Autoencoders

Betreuer: Heiko Donat

Representation Learning describes the a set of techniques to extract features from raw data. In this seminar work, the general concept of autoencoders shall be described and techniques for of autoencoder-based representation learning will be summarized and explained.
This bachelor level seminar topic will be based on [1] and [2] with an additional literature research about autoencoders.

[2] Recent Advances in Autoencoder-Based Representation Learning