We analyse natural gradient learning in a two-layer feed-forward neural network using a statistical mechanics framework which is appropriate for large input dimension. We find significant improvement over standard gradient descent in both the transient and asymptotic phases of learning.
CITATION STYLE
Rattray, M., & Saad, D. (1998). Transients and Asymptotics of Natural Gradient Learning (pp. 165–170). https://doi.org/10.1007/978-1-4471-1599-1_21
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