layer_pairwise_residual: Create Pairwise Layer
In tpq/caress: Caress, a Gentler Introduction to Keras
Description
Usage
Arguments
Value
View source: R/2-layers-pairwise.R
Description
This function computes all pairwise residuals in the final dimension
of a tensor. For example, if the tensor has the dimensions (2, 3, 4),
this function will return a tensor with the dimensions (2, 3, 4, 4).
The element (2, 3, i, j) would contain the value
((2, 3, i) - (2, 3, j))^2.
Usage
1
layer_pairwise_residual(object, name = NULL)
Arguments
object
The incoming layer.
name
A string. The prefix label for all layers.
Value
A layer of the pairwise residuals.
tpq/caress documentation built on March 11, 2021, 8:03 p.m.
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Description Usage Arguments Value
View source: R/2-layers-pairwise.R
Description
This function computes all pairwise residuals in the final dimension of a tensor. For example, if the tensor has the dimensions (2, 3, 4), this function will return a tensor with the dimensions (2, 3, 4, 4). The element (2, 3, i, j) would contain the value ((2, 3, i) - (2, 3, j))^2.
Usage
1 | layer_pairwise_residual(object, name = NULL)
|
Arguments
object |
The incoming layer. |
name |
A string. The prefix label for all layers. |
Value
A layer of the pairwise residuals.
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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