Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Daniel Neil, Michael Pfeiffer, Shih-Chii Liu

Recurrent Neural Networks (RNNs) have become the state-of-the-art choice for extracting patterns from temporal sequences. However, current RNN models are ill-suited to process irre…