Natural Gradient Descent for Training Stochastic Complex-Valued Neural Networks

Abstract

In this paper, the natural gradient descent method for the multilayer stochastic complex-valued neural networks is considered, and the natural gradient is given for a single stochastic complex-valued neuron as an example. Since the space of the learnable parameters of stochastic complex-valued neural networks is not the Euclidean space but a curved manifold, the complex-valued natural gradient method is expected to exhibit excellent learning performance.

Authors and Affiliations

Tohru Nitta

Keywords

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  • EP ID EP121478
  • DOI 10.14569/IJACSA.2014.050729
  • Views 91
  • Downloads 0

How To Cite

Tohru Nitta (2014). Natural Gradient Descent for Training Stochastic Complex-Valued Neural Networks. International Journal of Advanced Computer Science & Applications, 5(7), 193-198. https://europub.co.uk/articles/-A-121478