The nlogistic-sigmoid function

The variants of the logistic-sigmoid functions used in artificial neural networks are inherently, by definition, limited by vanishing gradients. Defining the logistic-sigmoid function to become n-times repeated over a finite input-output mapping can significantly reduce the presence of this limitation... (read more)

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