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In this paper, we investigate Deep Learning architectures for the recognition of facial expressions. In particular, we consider the concept of Transfer Learning whereby features learnt from generic images of large scale datasets can be used to train models of smaller databases without losing the generalization ability.
Ramalingam et al. (Mon,) studied this question.
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