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What is Back and Resilient Propagation Methods about?

This document discusses back propagation and resilient propagation algorithms for training artificial neural networks. [1] Back propagation is a common supervised learning method that calculates the gradient of the error of a network to update weights and minimize the objective function through forward and backward propagation. [2] Resilient propagation is an adaptive learning rate method that is easier to implement and less susceptible to problems than back propagation. It typically outperforms back propag

Author

anilshaw27

Language

EN