neural_network.activation_functions.mish
========================================

.. py:module:: neural_network.activation_functions.mish

.. autoapi-nested-parse::

   Mish Activation Function

   Use Case: Improved version of the ReLU activation function used in Computer Vision.
   For more detailed information, you can refer to the following link:
   https://en.wikipedia.org/wiki/Rectifier_(neural_networks)#Mish



Functions
---------

.. autoapisummary::

   neural_network.activation_functions.mish.mish


Module Contents
---------------

.. py:function:: mish(vector: numpy.ndarray) -> numpy.ndarray

       Implements the Mish activation function.

       Parameters:
           vector (np.ndarray): The input array for Mish activation.

       Returns:
           np.ndarray: The input array after applying the Mish activation.

       Formula:
           f(x) = x * tanh(softplus(x)) = x * tanh(ln(1 + e^x))

   Examples:
   >>> mish(vector=np.array([2.3,0.6,-2,-3.8]))
   array([ 2.26211893,  0.46613649, -0.25250148, -0.08405831])

   >>> mish(np.array([-9.2, -0.3, 0.45, -4.56]))
   array([-0.00092952, -0.15113318,  0.33152014, -0.04745745])