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nn_elu

ELU module


Description

Applies the element-wise function:

Usage

nn_elu(alpha = 1, inplace = FALSE)

Arguments

alpha

the α value for the ELU formulation. Default: 1.0

inplace

can optionally do the operation in-place. Default: FALSE

Details

\mbox{ELU}(x) = \max(0,x) + \min(0, α * (\exp(x) - 1))

Shape

  • Input: (N, *) where * means, any number of additional dimensions

  • Output: (N, *), same shape as the input

Examples

if (torch_is_installed()) {
m <- nn_elu()
input <- torch_randn(2)
output <-  m(input)

}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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