Neither hype nor gloom do DNNs justice.

Journal: The Behavioral and brain sciences
Published Date:

Abstract

Neither the hype exemplified in some exaggerated claims about deep neural networks (DNNs), nor the gloom expressed by Bowers et al. do DNNs as models in vision science justice: DNNs rapidly evolve, and today's limitations are often tomorrow's successes. In addition, providing explanations as well as prediction and image-computability are model desiderata; one should not be favoured at the expense of the other.

Authors

  • Felix A Wichmann
    Neural Information Processing Group, Faculty of Science, Eberhard Karls Universität Tübingen, Bernstein Center for Computational Neuroscience, and the Max Planck Institute for Intelligent Systems, Empirical Inference Department, Tübingen, Germany.
  • Simon Kornblith
    Google Research, Mountain View, CA, USA.
  • Robert Geirhos
    Brain Team, Google Research, Toronto, Canada; email: geirhos@google.com.