torch: nnf_dropout – R documentation

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nnf_dropout

Dropout

Description

During training, randomly zeroes some of the elements of the input tensor with probability p using samples from a Bernoulli distribution.

Usage

nnf_dropout(input, p = 0.5, training = TRUE, inplace = FALSE)

Arguments

`input`	the input tensor
`p`	probability of an element to be zeroed. Default: 0.5
`training`	apply dropout if is `TRUE`. Default: `TRUE`
`inplace`	If set to `TRUE`, will do this operation in-place. Default: `FALSE`

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

nnf_dropout

Description

Usage

Arguments

torch

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