Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network

Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke

Abstract: Recent work has shown that topological enhancements to recurrent neural networks (RNNs) can increase their expressiveness and representational capacity. Two popular enhancements are stacked RNNs, w...