softmax: A softmax activation, used for classifier networks as the...
In Greg-Hallenbeck/easy.mlp: Easy-To-Use Multilayer Perceptron
View source: R/activations-losses.R
View source: R/.ipynb_checkpoints/activations-losses-checkpoint.R
softmax R Documentation
A softmax activation, used for classifier networks as the output layer.
Description
A softmax activation, used for classifier networks as the output layer.
Usage
softmax(X, deriv = FALSE)
Arguments
X
A matrix.
deriv
Set this to TRUE if you want the derivative instead of the function.
Value
An matrix representing the probability of each class for each observation.
Greg-Hallenbeck/easy.mlp documentation built on March 10, 2023, 6:31 a.m.
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View source: R/activations-losses.R View source: R/.ipynb_checkpoints/activations-losses-checkpoint.R
| softmax | R Documentation |
A softmax activation, used for classifier networks as the output layer.
Description
A softmax activation, used for classifier networks as the output layer.
Usage
softmax(X, deriv = FALSE)
Arguments
X |
A matrix. |
deriv |
Set this to TRUE if you want the derivative instead of the function. |
Value
An matrix representing the probability of each class for each observation.
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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