tf.keras.regularizers.l1_l2

TensorFlow 1 version View source on GitHub

Create a regularizer that applies both L1 and L2 penalties.

Used in the notebooks

Used in the tutorials

The L1 regularization penalty is computed as:

$$\ell_1\,\,penalty =\ell_1\sum_{i=0}^n|x_i|$$

The L2 regularization penalty is computed as:

$$\ell_2\,\,penalty =\ell_2\sum_{i=0}^nx_i^2$$

l1 Float; L1 regularization factor.
l2 Float; L2 regularization factor.

An L1L2 Regularizer with the given regularization factors.