Memory Capacity of Neural Networks using a Circulant Weight Matrix

Vamsi Sashank Kotagiri

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arXiv · 1403.3115

Memory Capacity of Neural Networks using a Circulant Weight Matrix

Vamsi Sashank Kotagiri

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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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Vamsi Sashank Kotagiri. 2014-03-12. Memory Capacity of Neural Networks using a Circulant Weight Matrix. https://arxiv.org/abs/1403.3115

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