Training RNNs as Fast as CNNs

ICLR 2018 Tao LeiYu ZhangYoav Artzi

Common recurrent neural network architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations. In this work, we propose the Simple Recurrent Unit (SRU) architecture, a recurrent unit that simplifies the computation and exposes more parallelism... (read more)

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