DEEP LEARNING: OPPORTUNITIES, CHALLENGES, AND APPLICATIONS IN LIFE SCIENCES
Deep Learning is a collective term comprising applications of artificial neural networks (ANNs) with many layers to complex tasks by learning from data. The current surge of interest in Deep Learning has only become possible by the availability of (1) new techniques for training multi-layered ANNs, (2) large corpora of training data, and (3) relatively cheap high-performance computing (graphical processing units; GPUs). After a short introduction to the necessary machine learning basics, this seminar talk gives an overview of deep learning. We will highlight current successes in a variety of application fields, open issues, and potential future directions. Special emphasis will be given to recent applications in the life science domain.
Date: 10 July 2017, 15:00
Venue: Wellcome Trust Centre for Human Genetics, Headington OX3 7BN
Venue Details: Seminar Room A
Speaker: Dr Ulrich Bodenhofer (Johannes Kepler University Linz, Austria)
Organising department: Wellcome Trust Centre for Human Genetics
Organiser: Professor Gerton Lunter (WTCHG, NDM, Oxford)
Part of: WHG Seminars
Topics:
Booking required?: Not required
Audience: Members of the University only
Editor: Isabel Schmidt