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MESSAGE FOLLOWS:
Dear all,
Tomorrow, Wednesday May 21st at 1:00pm, Sander Dieleman, of Ghent University, will speak on "Classifying music and galaxies with deep learning".
The talk will take place in the ITL Meeting Room in the Informatics Teaching Laboratory, Queen Mary University of London, Mile End Road, London E1 4NS.
Information on how to access the school can be found at http://www.eecs.qmul.ac.uk/about/campus-map.php. If you are coming from outside Queen Mary, please let me know, so that I can provide detailed directions and make sure no-one is stuck outside the doors. If you wish to be added to / removed from our mailing list as an individual recipient, please send me an email and I'll be happy to do so.
Speaker:
Sander Dieleman
Title:
Classifying music and galaxies with deep learning
Abstract:
Deep learning has become a very popular approach for solving speech recognition and computer vision problems in recent years. In this talk we'll explore two different, but related applications. One is feature learning for music information retrieval (MIR): how can we use deep learning techniques to learn features from musical audio signals that are useful for classification and recommendation? We'll look at a few different tasks and feature learning approaches.
The other is galaxy morphology prediction: by automatically classifying galaxies based on their shape, astronomers can come to new insights about their origin and their distribution in space. We'll take a closer look at the convolutional neural network that won the recently finished Galaxy Zoo Challenge on Kaggle.
Bio:
Sander Dieleman is a PhD student in the Reservoir Lab of prof. Benjamin Schrauwen at Ghent University in Belgium. His main research focus is applying deep learning and feature learning techniques to music information retrieval (MIR) problems, such as audio-based music classification, automatic tagging and music recommendation.
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