Comparison of different architectures for classifying emotions through the face
Carolina Silva
Abstract
Facial expressions are an important means of non-verbal communication, sometimes serving as a complement to sending messages in human interaction. The objective of the present work is to carry out a comparison between three models of classification of emotions through the face, developed by different convolutional neural network architectures (CNN).
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