Deep Learning Fundamentals

Katharina Breininger; Vincent Christlein; Tobias Würfl; Andreas Maier

doi:10.1007/978-3-662-56537-7_5

Bildverarbeitung für die Medizin 2018 pp 5-5 | Cite as

Deep Learning Fundamentals

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Katharina Breininger
Vincent Christlein
Tobias Würfl
Andreas Maier

Conference paper

First Online: 21 February 2018

Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

Deep learning has received a lot of attention in the machine learning community. Successful applications from speech recognition or computer vision are already part of our daily life. Much effort has been devoted to transferring this success to medical image computing.

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Katharina Breininger
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Vincent Christlein
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Tobias Würfl
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Andreas Maier
- 1

1.Pattern Recognition LabFriedrich-Alexander-UniversitätErlangenDeutschland

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Cite this paper as:: Breininger K., Christlein V., Würfl T., Maier A. (2018) Deep Learning Fundamentals. In: Maier A., Deserno T., Handels H., Maier-Hein K., Palm C., Tolxdorff T. (eds) Bildverarbeitung für die Medizin 2018. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg

DOI https://doi.org/10.1007/978-3-662-56537-7_5
Publisher Name Springer Vieweg, Berlin, Heidelberg
Print ISBN 978-3-662-56536-0
Online ISBN 978-3-662-56537-7
eBook Packages Computer Science and Engineering (German Language)

Deep Learning Fundamentals

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