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")Optional, string indicating activation function (linear by default)
A construct with class "ruta_network"
Other neural layers:
conv(),
dense(),
dropout(),
input(),
layer_keras(),
variational_block()