nnf_prelu: Prelu
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/nnf-activation.R
nnf_prelu R Documentation
Prelu
Description
Applies element-wise the function
PReLU(x) = max(0,x) + weight * min(0,x)
where weight is a learnable parameter.
Usage
nnf_prelu(input, weight)
Arguments
input
(N,*) tensor, where * means, any number of additional
dimensions
weight
(Tensor) the learnable weights
torch documentation built on Aug. 21, 2025, 5:50 p.m.
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.
View source: R/nnf-activation.R
| nnf_prelu | R Documentation |
Prelu
Description
Applies element-wise the function
PReLU(x) = max(0,x) + weight * min(0,x)
where weight is a learnable parameter.
Usage
nnf_prelu(input, weight)
Arguments
input |
(N,*) tensor, where * means, any number of additional dimensions |
weight |
(Tensor) the learnable weights |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.