layer_activation_log_softmax: Log softmax layer
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
View source: R/customActivationLayers.R
layer_activation_log_softmax R Documentation
Log softmax layer
Description
Creates a log softmax layer
Usage
layer_activation_log_softmax(object, axis = -1, trainable = TRUE)
Arguments
axis
Integer specifying which axis.
trainable
Whether the layer weights will be updated during training.
Value
a keras layer tensor
Author(s)
Tustison NJ
ANTsX/ANTsRNet documentation built on April 28, 2024, 12:16 p.m.
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View source: R/customActivationLayers.R
| layer_activation_log_softmax | R Documentation |
Log softmax layer
Description
Creates a log softmax layer
Usage
layer_activation_log_softmax(object, axis = -1, trainable = TRUE)
Arguments
axis |
Integer specifying which axis. |
trainable |
Whether the layer weights will be updated during training. |
Value
a keras layer tensor
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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