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Deep learning models of perception and cognition by Marco Zorzi

07/06/2017 @ 14:00 - 16:00

Deep learning models of perception and cognition by Marco Zorzi (University of Padova, Italy)

Deep learning in stochastic recurrent neural networks with many layers of neurons (“deep networks”) is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex representations of the sensory data through unsupervised learning. Using examples from research in my laboratory, I will show that deep learning models represent a major step forward for connectionist modeling in psychology and cognitive neuroscience. I will also focus on a new model of letter perception, which shows that learning written symbols can recycle the visual primitives of natural images, thereby requiring only limited domain-specific tuning.

Details

Date:
07/06/2017
Time:
14:00 - 16:00
Event Category:

Venue

Salle des voûtes, St Charles
3 place Victor Hugo
Marseille, 13001 France
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