Maxout
======

.. automodule:: activations_plus.Maxout
   :members: forward, __init__

**Reference Paper**:
`Maxout Activation Function <https://arxiv.org/abs/1302.4389>`_

**Mathematical Explanation**:

The Maxout activation function is defined as:

.. math::
    f(x) = \max_{i \in [1, k]} (x \cdot W_i + b_i)

where :math:`W_i` and :math:`b_i` are learnable parameters, and :math:`k` is the number of linear pieces.

**Example Usage**:

.. code-block:: python

    import torch
    from activations_plus.maxout import Maxout

    activation = Maxout(num_pieces=2)
    x = torch.tensor([[1.0, 2.0], [3.0, 4.0]])
    y = activation(x)
    print("Maxout Output:", y)