regularizer_l1_l2: A regularizer that applies both L1 and L2 regularization...
In rstudio/keras: R Interface to 'Keras'

regularizer_l1_l2

R Documentation

A regularizer that applies both L1 and L2 regularization penalties.

The L1 regularization penalty is computed as: loss = l1 * reduce_sum(abs(x))

The L2 regularization penalty is computed as loss = l2 * reduce_sum(square(x))

L1L2 may be passed to a layer as a string identifier:

dense <- layer_dense(units = 3, kernel_regularizer = 'L1L2')

In this case, the default values used are l1=0.01 and l2=0.01.

regularizer_l1_l2(l1 = 0, l2 = 0)

`l1`	float, L1 regularization factor.
`l2`	float, L2 regularization factor.

A Regularizer instance that can be passed to layer constructors or used as a standalone object.