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‎docs/source/Footer.rst

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PyGAD 2.6.0
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------------
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Release Date: 6 August 2020
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1. A bug fix in assigning the value to the ``initial_population``
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parameter.
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2. A new parameter named ``gene_type`` is added to control the gene
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type. It can be either ``int`` or ``float``. It has an effect only
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when the parameter ``gene_space`` is ``None``.
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3. 7 new parameters that accept callback functions: ``on_start``,
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``on_fitness``, ``on_parents``, ``on_crossover``, ``on_mutation``,
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``on_generation``, and ``on_stop``.
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PyGAD Projects at GitHub
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========================
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open-source GitHub projects. A brief note about these projects is given
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in the next subsections.
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`GeneticAlgorithmPython<https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
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--------------------------------------------------------------------------------
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is the first project which is an open-source Python 3 project for
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implementing the genetic algorithm based on NumPy.
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`NumPyANN<https://github.com/ahmedfgad/NumPyANN>`__
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----------------------------------------------------
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supports classification and later regression will be also supported.
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Moreover, only one class is supported per sample.
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`NeuralGenetic<https://github.com/ahmedfgad/NeuralGenetic>`__
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--------------------------------------------------------------
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`GeneticAlgorithmPython<https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
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and `NumPyANN<https://github.com/ahmedfgad/NumPyANN>`__.
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`NumPyCNN<https://github.com/ahmedfgad/NumPyCNN>`__
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----------------------------------------------------
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is to only implement the **forward pass** of a convolutional neural
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`CNNGenetic<https://github.com/ahmedfgad/CNNGenetic>`__
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--------------------------------------------------------
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`GeneticAlgorithmPython<https://github.com/ahmedfgad/GeneticAlgorithmPython>`__
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project for building the genetic algorithm.
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Submitting Issues
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=================
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If this is not a proper option for you, then check the **Contact Us**
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section for more contact details.
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Ask for Feature
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===============
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Also check the **Contact Us** section for more contact details.
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Projects Built using PyGAD
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==========================
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- Preferably, a link that directs the readers to your project
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For More Information
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====================
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There are different resources that can be used to get started with the
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genetic algorithm and building it in Python.
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Tutorial: Implementing Genetic Algorithm in Python
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|image0|
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Tutorial: Introduction to Genetic Algorithm
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-------------------------------------------
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|image1|
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Tutorial: Build Neural Networks in Python
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Tutorial: Optimize Neural Networks with Genetic Algorithm
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Tutorial: Building CNN in Python
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Tutorial: Derivation of CNN from FCNN
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Book: Practical Computer Vision Applications Using Deep Learning with CNNs
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--------------------------------------------------------------------------
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..figure::https://user-images.githubusercontent.com/16560492/78830077-ae7c2800-79e7-11ea-980b-53b6bd879eeb.jpg
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:alt:
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Contact Us
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==========

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