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Updated: Jul 9, 2025

Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
Why psychologists should embrace rather than abandon DNNs
Galit Yovel1,2, Naphtali Abudarham1
1School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel gality@tauex.tau.ac.il; https://people.socsci.tau.ac.il/mu/galityovel/ naphtool@gmail.com.
Abstract:
Deep neural networks (DNNs) are powerful computational models, which generate complex, high-level representations that were missing in previous models of human cognition. By studying these high-level representations, psychologists can now gain new insights into the nature and origin of human high-level vision, which was not possible with traditional handcrafted models. Abandoning DNNs would be a huge oversight for psychological sciences.
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