Mind the Remainder: Taylor’s Theorem View on Recurrent Neural Networks

Recurrent neural networks (RNNs) have gained tremendous popularity in almost every sequence modeling task. Despite the effort, these kinds of discrete unstructured data, such as texts, audio, and videos, are still difficult to be embedded in the feature space. Studies in improving the neural networks have accelerated since the introduction of more complex or deeper architectures. The improvements ...