How Chaotic Are Recurrent Neural Networks?

• URL: http://arxiv.org/abs/2004.13838v1
• Date: Tue, 28 Apr 2020 21:14:38 GMT
• Title: How Chaotic Are Recurrent Neural Networks?
• Authors: Pourya Vakilipourtakalou, Lili Mou
• Abstract summary: Recurrent neural networks (RNNs) are non-linear dynamic systems. We show that a vanilla or long short term memory (LSTM) RNN does not exhibit chaotic behavior along the training process in real applications such as text generation.
• Score: 22.236891108918396
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recurrent neural networks (RNNs) are non-linear dynamic systems. Previous work believes that RNN may suffer from the phenomenon of chaos, where the system is sensitive to initial states and unpredictable in the long run. In this paper, however, we perform a systematic empirical analysis, showing that a vanilla or long short term memory (LSTM) RNN does not exhibit chaotic behavior along the training process in real applications such as text generation. Our findings suggest that future work in this direction should address the other side of non-linear dynamics for RNN.

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