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 May 29, 2024, 9:54 a.m.
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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.
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