tf.keras.regularizers.l1

TensorFlow 1 version

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Create a regularizer that applies both L1 and L2 penalties.

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tf.compat.v1.keras.regularizers.l1_l2

tf.keras.regularizers.l1_l2(
    l1=0.01, l2=0.01
)

Used in the notebooks

Used in the tutorials
Creating Keras Models with TFL Layers

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))

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

Returns
An L1L2 Regularizer with the given regularization factors.

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tf.keras / regularizers / regularizers.l1

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Used in the notebooks

Arguments

Returns