A deterministic algorithm that emulates learning with random weights

Author:

de Angulo Vicente Ruiz,Torras Carme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

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3. C. Darken, J. Chang, J. Moody, Learning rate schedules for faster stochastic gradient search, in: Proceedings of the IEEE Workshop—Neural Networks for Signal Processing, IEEE Press, New York, 1992.

4. C. Darken, J. Moody, Note on learning rate schedules for stochastic optimization, in: J.E. Moody, S.J. Hanson, R.P. Lippmann (Eds.), Advances in Neural Information Processing Systems 3, Morgan Kauffman, San Mateo, CA, 1990, pp. 832–838.

5. S.E. Fahlman, An empirical study of learning speed in back-propagation networks, Technical Report CMU-CS-88-162, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 1988.

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