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Title: GitHub - KWRProjects/OPT-GeneticAlgorithmPython: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Open Graph Title: GitHub - KWRProjects/OPT-GeneticAlgorithmPython: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

X Title: GitHub - KWRProjects/OPT-GeneticAlgorithmPython: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Description: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). - KWRProjects/OPT-GeneticAlgorithmPython

Open Graph Description: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). - KWRProjects/OPT-GeneticAlgorithmPython

X Description: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). - KWRProjects/OPT-GeneticAlgorithmPython

Mail addresses
ahmed.f.gad@gmail.com
ahmed.f.gad@gmail.com
ahmed.f.gad@gmail.com
ahmed.f.gad@gmail.com

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https://patch-diff.githubusercontent.com/KWRProjects/OPT-GeneticAlgorithmPython#geneticalgorithmpython-building-genetic-algorithm-in-python
This projecthttps://github.com/ahmedfgad/GeneticAlgorithmPython
PyGADhttps://pypi.org/project/pygad
GeneticAlgorithmPythonhttps://github.com/ahmedfgad/GeneticAlgorithmPython
https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.htmlhttps://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html
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Open Collectivehttps://opencollective.com/pygad
opencollective.com/pygadhttps://opencollective.com/pygad
paypal.me/ahmedfgadhttps://paypal.me/ahmedfgad
https://patch-diff.githubusercontent.com/KWRProjects/OPT-GeneticAlgorithmPython#tutorial-project
Genetic Algorithm Implementation in Pythonhttps://www.linkedin.com/pulse/genetic-algorithm-implementation-python-ahmed-gad
https://github.com/ahmedfgad/GeneticAlgorithmPython/tree/master/Tutorialhttps://github.com/ahmedfgad/GeneticAlgorithmPython/tree/master/Tutorial
https://patch-diff.githubusercontent.com/KWRProjects/OPT-GeneticAlgorithmPython#installation
PyGADhttps://pypi.org/project/pygad
PyPIhttps://pypi.org/project/pygad
https://pypi.org/project/pygadhttps://pypi.org/project/pygad
Read The Docshttps://pygad.readthedocs.io/
https://pygad.readthedocs.iohttps://pygad.readthedocs.io
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pygadhttps://github.com/ahmedfgad/GeneticAlgorithmPython
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https://github.com/ahmedfgad/NumPyANNhttps://github.com/ahmedfgad/NumPyANN
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https://github.com/ahmedfgad/NumPyCNNhttps://github.com/ahmedfgad/NumPyCNN
pygad.gacnnhttps://github.com/ahmedfgad/CNNGenetic
https://github.com/ahmedfgad/CNNGenetichttps://github.com/ahmedfgad/CNNGenetic
pygad.kerasgahttps://github.com/ahmedfgad/KerasGA
https://github.com/ahmedfgad/KerasGAhttps://github.com/ahmedfgad/KerasGA
pygad.torchgahttps://github.com/ahmedfgad/TorchGA
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Artificial Neural Network Implementation using NumPy and Classification of the Fruits360 Image Datasethttps://www.linkedin.com/pulse/artificial-neural-network-implementation-using-numpy-fruits360-gad
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Building Convolutional Neural Network using NumPy from Scratchhttps://www.linkedin.com/pulse/building-convolutional-neural-network-using-numpy-from-ahmed-gad
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Chinese Translationhttp://m.aliyun.com/yunqi/articles/585741
This tutorialhttps://www.linkedin.com/pulse/building-convolutional-neural-network-using-numpy-from-ahmed-gad
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https://patch-diff.githubusercontent.com/KWRProjects/OPT-GeneticAlgorithmPython#book-practical-computer-vision-applications-using-deep-learning-with-cnns
Ahmed Fawzy Gad 'Practical Computer Vision Applications Using Deep Learning with CNNs'. Dec. 2018, Apress, 978-1-4842-4167-7https://www.amazon.com/Practical-Computer-Vision-Applications-Learning/dp/1484241665
Amazonhttps://www.amazon.com/Practical-Computer-Vision-Applications-Learning/dp/1484241665
Springerhttps://link.springer.com/book/10.1007/978-1-4842-4167-7
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pygad.readthedocs.iohttps://pygad.readthedocs.io
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