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DTSTART;TZID=Europe/Paris:20170706T140000
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DTSTAMP:20260422T200229
CREATED:20190212T170008Z
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UID:2247-1499349600-1499356800@www.ilcb.fr
SUMMARY:Deep learning models of perception and cognition by Marco Zorzi
DESCRIPTION:Deep learning models of perception and cognition by Marco Zorzi (University of Padova\, Italy)\nDeep 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.
URL:https://www.ilcb.fr/event/deep-learning-models-of-perception-and-cognition-by-marco-zorzi/
LOCATION:Salle des voûtes\, St Charles\, 3 place Victor Hugo\, Marseille\, 13001\, France
CATEGORIES:Seminars
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