torch: nn_sequential – R documentation

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nn_sequential

A sequential container

Description

A sequential container. Modules will be added to it in the order they are passed in the constructor. See examples.

Usage

nn_sequential(..., name = NULL)

Arguments

`...`	sequence of modules to be added
`name`	optional name for the generated module.

Examples

if (torch_is_installed()) {

model <- nn_sequential(
  nn_conv2d(1, 20, 5),
  nn_relu(),
  nn_conv2d(20, 64, 5),
  nn_relu()
)
input <- torch_randn(32, 1, 28, 28)
output <- model(input)

}

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