This layer acts as a placeholder for the output layer in an autoencoder. The number of units is not needed as it is deduced from the data during training.

output(activation = "linear")

## Arguments

activation

Optional, string indicating activation function (linear by default)

## Value

A construct with class "ruta_network"

Other neural layers: conv(), dense(), dropout(), input(), layer_keras(), variational_block()