Selected talks
- Google DeepMind's AlphaGo vs. world Go champion Lee Sedol (AIHelsinki seminar, 2016-03-23)
- Fundamentals of Practical Deep Learning (2-day workshop, London, 2016-02)
- Understanding Convolutional Networks (Visual Forum, Göteborg, 2015-11-18)
- What You Need to Know About AI Today (Slush, Messukeskus, 2015-11-12)
- Yksi
askel lähemmäs robottiälyä:
Syvät neuroverkot (Teknologia'15, Messukeskus, 2015-10-07)
- Combining unsupervised and supervised learning (and the Ladder network) (Deep
Learning Summer School, Copenhagen, 2015-08)
- Introduction to deep learning, Convolutional networks for computer
vision (Deep Learning Summer School, Helsinki, 2015-08)
- Iterative Neural Autoregressive
Distribution Estimator (NADE-k) (Prof Yoshua Bengio's lab, University of Montreal, 2014)
- Panel discussion on deep learning (ICONIP, Daegu, Korea, 2013)
- Deep Learning Made Easier
by Linear Transformations in Perceptrons (Prof Geoffrey Hinton's lab, University of Toronto, 2012)
- Making Restricted Boltzmann Machines Work (Adaptive Informatics Research Centre, Scientific Advisory Board, 2011)
- Principal Component Analysis (PCA) for Sparse High-Dimensional Data (Xerox Research Centre Europe, 2009)
In media
In English:
In Finnish (and Swedish):
Extras
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