tf.keras.regularizers.l2

TensorFlow 1 version View source on GitHub

Create a regularizer that applies an L2 regularization penalty.

Aliases:

tf.keras.regularizers.l2(l=0.01)

Used in the guide:

Used in the tutorials:

The L2 regularization penalty is computed as:

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

Arguments:

  • l: Float; L2 regularization factor.

Returns:

An L2 Regularizer with the given regularization factor.