Popular (and some not-so-popular) activation functions for use within arbitrary neural networks.
.. autoclass:: numpy_ml.neural_nets.activations.Affine :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.ELU :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.Exponential :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.HardSigmoid :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.Identity :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.LeakyReLU :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.ReLU :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.SELU :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.GELU :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.Sigmoid :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.SoftPlus :members: :undoc-members: :inherited-members:
.. autoclass:: numpy_ml.neural_nets.activations.Tanh :members: :undoc-members: :inherited-members: