nn_tanhshrink: Tanhshrink module
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_tanhshrink R Documentation
Tanhshrink module
Description
Applies the element-wise function:
Usage
nn_tanhshrink()
Details
\mbox{Tanhshrink}(x) = x - \tanh(x)
Shape
Input: (N, *) where * means, any number of additional
dimensions
Output: (N, *), same shape as the input
Examples
if (torch_is_installed()) {
m <- nn_tanhshrink()
input <- torch_randn(2)
output <- m(input)
}
torch documentation built on June 7, 2023, 6:19 p.m.
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| nn_tanhshrink | R Documentation |
Tanhshrink module
Description
Applies the element-wise function:
Usage
nn_tanhshrink()
Details
\mbox{Tanhshrink}(x) = x - \tanh(x)
Shape
Input:
(N, *)where*means, any number of additional dimensionsOutput:
(N, *), same shape as the input
Examples
if (torch_is_installed()) {
m <- nn_tanhshrink()
input <- torch_randn(2)
output <- m(input)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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