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IEEE Transactions on Neural Networks and Learning Systems· 2016Q1

LSTM: A Search Space Odyssey

Klaus Greff, Rupesh K. Srivastava, Jan Koutník, Bas R. Steunebrink et al.

Short summary

A large-scale analysis of eight Long Short-Term Memory (LSTM) variants found that none significantly outperform the standard LSTM architecture, highlighting the forget gate and output activation function as its most critical components.

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Field: Signal Processing

Signal ProcessingComputer Science