message: Make regularizer docstrings more readable.
diff: @@ -197,10 +197,10 @@ class L1L2(Regularizer):
  r"""A regularizer that applies both L1 and L2 regularization penalties.
  The L1 regularization penalty is computed as:
  - $$\ell_1\,\,penalty =\ell_1\sum_{i=0}^n|x_i|$$
  + `loss = l1 * reduce_sum(abs(x))`
  The L2 regularization penalty is computed as
  - $$\ell_2\,\,penalty =\ell_2\sum_{i=0}^nx_i^2$$
  + `loss = l2 * reduce_sum(square(x))`
  Attributes:
  l1: Float; L1 regularization factor.
  @@ -233,7 +233,7 @@ def l1(l=0.01):
  r"""Create a regularizer that applies an L1 regularization penalty.
  The L1 regularization penalty is computed as:
  - $$\ell_1\,\,penalty =\ell_1\sum_{i=0}^n|x_i|$$
  + `loss = l * reduce_sum(abs(x))`
  Arguments:
  l: Float; L1 regularization factor.
  @@ -249,7 +249,7 @@ def l2(l=0.01):
  r"""Create a regularizer that applies an L2 regularization penalty.
  The L2 regularization penalty is computed as:
  - $$\ell_2\,\,penalty =\ell_2\sum_{i=0}^nx_i^2$$
  + `loss = l * reduce_sum(square(x))`
  Arguments:
  l: Float; L2 regularization factor.
  @@ -265,10 +265,10 @@ def l1_l2(l1=0.01, l2=0.01): # pylint: disable=redefined-outer-name
  r"""Create a regularizer that applies both L1 and L2 penalties.
  The L1 regularization penalty is computed as:
  - $$\ell_1\,\,penalty =\ell_1\sum_{i=0}^n|x_i|$$
  + `loss = l1 * reduce_sum(abs(x))`
  The L2 regularization penalty is computed as:
  - $$\ell_2\,\,penalty =\ell_2\sum_{i=0}^nx_i^2$$
  + `loss = l2 * reduce_sum(square(x))`
  Arguments:
  l1: Float; L1 regularization factor.
  