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Deep machine learning

Master's level | 7.5 credits | Course code: DIT869

The course is not given as a stand-alone course this academic year, but can be included in the program/course package. For information contact the department.

About the Course

The purpose with this course is to give a thorough introduction to deep machine learning, also known as deep learning or deep neural networks. Over the last few years, deep machine learning has dramatically changed the state of the art performance in various fields including speech-recognition, computer vision and reinforcement learning (used, e.g., to learn how to play Go). We focus primarily on basic principles regarding how these networks are constructed and trained, but we also cover many of the key techniques used in different applications. The overall objective is to provide a solid understanding of how and why deep machine learning is useful, as well as the skills to apply them to solve problems of practical importance.

More Information

https://studentportal.gu.se/...

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Course Syllabus

DIT869

Tuition Fee

Please contact the department.
EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on: http://www.universityadmissions.se

Study Guidance

E-post: svl@cse.gu.se

Department

Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 2/18/2020 2:41 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018
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