Sander Dieleman, Ghent University, Belgium

Lecture
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6, A-1010 Wien
Tel: +43-1-5336112-17,  Fax: +43-1-5336112-77, Email: sec@ofai.at

Sander Dieleman, Reservoir Lab, Ghent University, Belgium

"DEEP LEARNING FOR MUSIC, GALAXIES AND PLANKTON"

Abstract: In recent years, deep learning has become a popular approach
for speech and image recognition, and its application has substantially
improved recognition systems in these domains. In this talk we'll
explore three different applications of deep learning: audio-based
music recommendation, galaxy morphology classification and plankton
species classification. We'll take a closer look at solutions for these
problems based on convolutional neural networks, two of which have been
used to win Kaggle competitions.

Biography: Sander Dieleman is a PhD student in the research group
Reservoir Lab at Ghent University in Belgium. His research focuses on
feature learning and deep learning techniques for learning hierarchical
representations of musical audio signals, aimed at automatic music
classification and recommendation. In the summer of 2014, he interned
at Spotify in New York City.


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Time: Thursday, 28th May 2015, 3.00 p.m. sharp

Location:  Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien


OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE

Univ.-Prof. Ing. Dr. Robert Trappl

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