nn_sequential: A sequential container
In torch: Tensors and Neural Networks with 'GPU' Acceleration
nn_sequential R Documentation
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(...)
Arguments
...
sequence of modules to be added
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 documentation built on May 29, 2024, 9:54 a.m.
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| nn_sequential | R Documentation |
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(...)
Arguments
... |
sequence of modules to be added |
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)
}
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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