neural_network.simple_neural_network
====================================

.. py:module:: neural_network.simple_neural_network

.. autoapi-nested-parse::

   Forward propagation explanation:
   https://towardsdatascience.com/forward-propagation-in-neural-networks-simplified-math-and-code-version-bbcfef6f9250



Attributes
----------

.. autoapisummary::

   neural_network.simple_neural_network.INITIAL_VALUE
   neural_network.simple_neural_network.expected


Functions
---------

.. autoapisummary::

   neural_network.simple_neural_network.forward_propagation
   neural_network.simple_neural_network.sigmoid_function


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

.. py:function:: forward_propagation(expected: int, number_propagations: int) -> float

   Return the value found after the forward propagation training.

   >>> res = forward_propagation(32, 450_000)  # Was 10_000_000
   >>> res > 31 and res < 33
   True

   >>> res = forward_propagation(32, 1000)
   >>> res > 31 and res < 33
   False


.. py:function:: sigmoid_function(value: float, deriv: bool = False) -> float

   Return the sigmoid function of a float.

   >>> sigmoid_function(3.5)
   0.9706877692486436
   >>> sigmoid_function(3.5, True)
   -8.75


.. py:data:: INITIAL_VALUE
   :value: 0.02


.. py:data:: expected