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Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks
In this paper, we develop a meta-level NN (MLNN) model that learns meta-knowledge on data-specific properties of images during learning and that dynamically adapts its weights during application according to the properties of the images input.
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