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arXiv · 1612.06212

A recurrent neural network without chaos

Thomas Laurent·James von Brecht
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Abstract

We introduce an exceptionally simple gated recurrent neural network (RNN) that achieves performance comparable to well-known gated architectures, such as LSTMs and GRUs, on the word-level language modeling task. We prove that our model has simple, predicable and non-chaotic dynamics. This stands in stark contrast to more standard gated architectures, whose underlying dynamical systems exhibit chaotic behavior.

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Thomas Laurent, James von Brecht. 2016-12-19. A recurrent neural network without chaos. https://arxiv.org/abs/1612.06212

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