nnf_contrib_sparsemax: Sparsemax
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/nnf-activation.R
nnf_contrib_sparsemax R Documentation
Sparsemax
Description
Applies the SparseMax activation.
Usage
nnf_contrib_sparsemax(input, dim = -1)
Arguments
input
the input tensor
dim
The dimension over which to apply the sparsemax function. (-1)
Details
The SparseMax activation is described in
'From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification'
The implementation is based on aced125/sparsemax
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/nnf-activation.R
| nnf_contrib_sparsemax | R Documentation |
Sparsemax
Description
Applies the SparseMax activation.
Usage
nnf_contrib_sparsemax(input, dim = -1)
Arguments
input |
the input tensor |
dim |
The dimension over which to apply the sparsemax function. (-1) |
Details
The SparseMax activation is described in 'From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification' The implementation is based on aced125/sparsemax
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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