l1_l2¶

dragon.vm.tensorflow.keras.regularizers.l1_l2(
  l1=0.01,
  l2=0.01
)[source]¶

Create a L1L2 regularizer.

The L1L2 regularizer is defined as:

\[loss_{reg} = loss + \alpha|w| + \frac{\beta}{2}|w|_{2} \]

Parameters:

• l1 (float, optional, default=0.01) – The value to \(\alpha\).
• l2 (float, optional, default=0.01) – The value to \(\beta\).

Returns:

dragon.vm.tensorflow.keras.regularizers.Regularizer – The regularizer.