Notación matricial en el entrenamiento de redes neuronales


Authors

  • Jason Edwin Molina V.
  • Carlos Alberto Restrepo

Abstract

Este documento contiene la formulación para efectuar el entrenamiento de una red neuronal con el algoritmo Backpropagation, en el cual se ha usado un método poco usual, el cual es la formulación del mismo utilizando matrices. Esto se realiza aprovechando el hecho de que algunas operaciones permiten ser realizadas como las que usualmente se utilizan con matrices. Además las operaciones matriciales proporcionan una notación y una programación mucho más resumida, lo cual se ve reflejado en el tiempo computacional.

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Published

2007-05-30

How to Cite

Molina V., J. E., & Restrepo, C. A. (2007). Notación matricial en el entrenamiento de redes neuronales. Scientia Et Technica, 1(34). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/5525

Issue

Vol. 1 No. 34 (2007)

Section

Eléctrica

License

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