R/layers.R
dropout.RdRandomly sets a fraction rate of input units to 0 at each update during training
time, which helps prevent overfitting.
dropout(rate = 0.5)
| rate | The fraction of affected units |
|---|
A construct of class "ruta_network"
Other neural layers: conv,
dense, input,
layer_keras, output,
variational_block