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Memory Capacity of Neural Networks using a Circulant Weight Matrix

2014-03-12
Vamsi Sashank Kotagiri

Abstract

This paper presents results on the memory capacity of a generalized feedback neural network using a circulant matrix. Children are capable of learning soon after birth which indicates that the neural networks of the brain have prior learnt capacity that is a consequence of the regular structures in the brain’s organization. Motivated by this idea, we consider the capacity of circulant matrices as weight matrices in a feedback network.

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URL

https://arxiv.org/abs/1403.3115

PDF

https://arxiv.org/pdf/1403.3115


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