dense: Create a fully-connected neural layer
In fdavidcl/ruta: Implementation of Unsupervised Neural Architectures
dense R Documentation
Create a fully-connected neural layer
Description
Wrapper for a dense/fully-connected layer.
Usage
dense(units, activation = "linear")
Arguments
units
Number of units
activation
Optional, string indicating activation function (linear by default)
Value
A construct with class "ruta_network"
See Also
Other neural layers:
conv(),
dropout(),
input(),
layer_keras(),
output(),
variational_block()
Examples
dense(30, "tanh")
fdavidcl/ruta documentation built on July 5, 2023, 6:32 p.m.
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| dense | R Documentation |
Create a fully-connected neural layer
Description
Wrapper for a dense/fully-connected layer.
Usage
dense(units, activation = "linear")
Arguments
units |
Number of units |
activation |
Optional, string indicating activation function (linear by default) |
Value
A construct with class "ruta_network"
See Also
Other neural layers:
conv(),
dropout(),
input(),
layer_keras(),
output(),
variational_block()
Examples
dense(30, "tanh")
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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