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Oznake: computer science;machine learning
We stabilize the activations of Recurrent Neural Networks (RNNs) by penalizing the squared distance between successive hidden states' norms. This penalty term is an effective regularizer for RNNs including LSTMs and IRNNs, improving performance on character-level language modeling and phoneme reco ...
Leto: 2016 Vir: videolectures.net
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Oznake: computer science;machine learning;deep learning;reinforcement learning;unsupervised learning
Leto: 2017 Vir: videolectures.net
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