Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
作者： Michael Pfeiffer , Daniel Neil , Shih-Chii Liu
DOI: 10.5167/UZH-149394
关键词:
摘要: Recurrent Neural Networks (RNNs) have become the state-of-the-art choice for extracting patterns from temporal sequences. Current RNN models are ill suited to process irregularly …
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