update linear
use admonition for example
@@ -60,7 +60,7 @@ def linear(x, W, b=None):
matrix ``W``, and optionally a bias vector ``b``. It computes
.. math:: Y = xW^\\top + b.
- Example::
+ .. admonition:: Example
>>> x = np.random.uniform(0, 1, (3, 4)).astype('f')
>>> W = np.random.uniform(0, 1, (5, 4)).astype('f')
