Study: Deep neural networks don't see the world the way we do | MIT News | Massachusetts Institute of Technology

Computational models of hearing and vision can build up their own idiosyncratic “invariances” — meaning they respond the same way to stimuli with very different features, according to MIT scientists.

Related Keywords

Guillaume Leclerc ,Josh Mcdermott ,Flatiron Institute Center ,Department Of Energy Computational Science Graduate Fellowship ,Friends Of The Mcgovern Institute Fellowship ,National Science Foundation ,National Institutes Of Health ,Mcgovern Institute For Brain Research ,Govern Institute ,Brain Research ,Feather Phd ,Computational Neuroscience ,Cadence Design Systems Professor ,National Institutes ,Energy Computational Science Graduate Fellowship ,Mcgovern Institute ,Deep Neural Networks ,Sensory Perception ,Vision ,Hearing ,Invariance ,Retamers ,Enelle Feather ,