torch_sigmoid: Sigmoid
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_sigmoid R Documentation
Sigmoid
Description
Sigmoid
Usage
torch_sigmoid(self)
Arguments
self
(Tensor) the input tensor.
sigmoid(input, out=NULL) -> Tensor
Returns a new tensor with the sigmoid of the elements of input.
\mbox{out}_{i} = \frac{1}{1 + e^{-\mbox{input}_{i}}}
Examples
if (torch_is_installed()) {
a = torch_randn(c(4))
a
torch_sigmoid(a)
}
torch documentation built on June 7, 2023, 6:19 p.m.
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View source: R/gen-namespace.R
| torch_sigmoid | R Documentation |
Sigmoid
Description
Sigmoid
Usage
torch_sigmoid(self)
Arguments
self |
(Tensor) the input tensor. |
sigmoid(input, out=NULL) -> Tensor
Returns a new tensor with the sigmoid of the elements of input.
\mbox{out}_{i} = \frac{1}{1 + e^{-\mbox{input}_{i}}}
Examples
if (torch_is_installed()) {
a = torch_randn(c(4))
a
torch_sigmoid(a)
}
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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