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.