Activations
===========

Popular (and some not-so-popular) activation functions for use within arbitrary
neural networks.

``Affine``
-----------
.. autoclass:: numpy_ml.neural_nets.activations.Affine
    :members:
    :undoc-members:
    :inherited-members:

``ELU``
-----------
.. autoclass:: numpy_ml.neural_nets.activations.ELU
    :members:
    :undoc-members:
    :inherited-members:

``Exponential``
---------------
.. autoclass:: numpy_ml.neural_nets.activations.Exponential
    :members:
    :undoc-members:
    :inherited-members:

``HardSigmoid``
---------------
.. autoclass:: numpy_ml.neural_nets.activations.HardSigmoid
    :members:
    :undoc-members:
    :inherited-members:

``Identity``
---------------
.. autoclass:: numpy_ml.neural_nets.activations.Identity
    :members:
    :undoc-members:
    :inherited-members:

``LeakyReLU``
-------------
.. autoclass:: numpy_ml.neural_nets.activations.LeakyReLU
    :members:
    :undoc-members:
    :inherited-members:

``ReLU``
---------
.. autoclass:: numpy_ml.neural_nets.activations.ReLU
    :members:
    :undoc-members:
    :inherited-members:

``SELU``
---------
.. autoclass:: numpy_ml.neural_nets.activations.SELU
    :members:
    :undoc-members:
    :inherited-members:

``GELU``
-----------
.. autoclass:: numpy_ml.neural_nets.activations.GELU
    :members:
    :undoc-members:
    :inherited-members:

``Sigmoid``
------------
.. autoclass:: numpy_ml.neural_nets.activations.Sigmoid
    :members:
    :undoc-members:
    :inherited-members:

``SoftPlus``
------------
.. autoclass:: numpy_ml.neural_nets.activations.SoftPlus
    :members:
    :undoc-members:
    :inherited-members:

``Tanh``
---------
.. autoclass:: numpy_ml.neural_nets.activations.Tanh
    :members:
    :undoc-members:
    :inherited-members: