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.

Usage

regularizer_l1_l2(l1 = 0, l2 = 0)

Arguments

l1

float, L1 regularization factor.

l2

float, L2 regularization factor.

Value

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

See also

• https://keras.io/api/layers/regularizers#l1l2-class

Other regularizers:
regularizer_l1()
regularizer_l2()
regularizer_orthogonal()