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nn_contrib_sparsemax

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

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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