creates a 'linear' 'citolayer' object that is used by create_architecture.
Usage
linear(
n_neurons = NULL,
bias = NULL,
activation = NULL,
normalization = NULL,
dropout = NULL
)Arguments
- n_neurons
(int) amount of hidden neurons in this layer
- bias
(boolean) if TRUE, adds a learnable bias to the neurons of this layer
- activation
(string) activation function that is used after this layer. The following activation functions are supported: "relu", "leaky_relu", "tanh", "elu", "rrelu", "prelu", "softplus", "celu", "selu", "gelu", "relu6", "sigmoid", "softsign", "hardtanh", "tanhshrink", "softshrink", "hardshrink", "log_sigmoid"
- normalization
(boolean) if TRUE, batch normalization is used after this layer
- dropout
(float) dropout rate of this layer. Set to 0 for no dropout
Details
This function creates a 'linear' 'citolayer' object that is passed to the create_architecture function.
The parameters that aren't assigned here (and are therefore still NULL) are filled with the default values passed to create_architecture.