Identifying individual facial expressions by deconstructing a neural network

23 Jun 2016Farhad ArbabzadahGrégoire MontavonKlaus-Robert MüllerWojciech Samek

This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using deep neural networks. Since psychological attribute datasets typically suffer from small sample sizes, we apply transfer learning with two base models to avoid overfitting... (read more)

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