AttentionLayer2D: Attention layer (2-D)
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
AttentionLayer2D R Documentation
Attention layer (2-D)
Description
Attention layer (2-D)
Value
output of tensor shape.
Arguments
- numberOfChannels
number of channels.
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
ANTsX/ANTsRNet documentation built on June 11, 2025, 1:45 p.m.
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| AttentionLayer2D | R Documentation |
Attention layer (2-D)
Description
Attention layer (2-D)
Value
output of tensor shape.
Arguments
- numberOfChannels
number of channels.
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
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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