nn_contrib_sparsemax: Sparsemax activation
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_contrib_sparsemax R Documentation
Sparsemax activation
Description
Sparsemax activation module.
Usage
nn_contrib_sparsemax(dim = -1)
Arguments
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 June 7, 2023, 6:19 p.m.
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| nn_contrib_sparsemax | R Documentation |
Sparsemax activation
Description
Sparsemax activation module.
Usage
nn_contrib_sparsemax(dim = -1)
Arguments
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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