What is it about?
An exploration of the properties of patterns in biological sequences that render them susceptible to the architectural bias of recurrent neural networks. Meaning that recurrent neural networks are predisposed towards finding these kinds of patterns when searching their parameter space.
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This page is a summary of: Improved Access to Sequential Motifs: A Note on the Architectural Bias of Recurrent Networks, IEEE Transactions on Neural Networks, March 2005, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/tnn.2005.844086.
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