Astraios PhD Opportunities755
hasCourse

Deep learning & structured data  

Description

Aims The aims of the course are to: teach the basic concepts of deep learning and forms of structure that can be used for generative and discriminative models. In addition, the use of models for classifying structured data, such as speech and language, will be discussed Outcome: Objectives As specific objectives, by the end of the course students should be able to: understand the basic principles of pattern classification and deep learning; understand generative and discriminative models for structured data; understand the application of deep-learning to structured data; apply pattern processing techniques to practical applications. * This module is shared with 4th Year undergraduates from the Department of Engineering.

Delivery mode

Presential
English

Name

Deep learning & structured data
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

Astraios home page

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).