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

X Title: GitHub - unkcpz/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). - unkcpz/GeneticAlgorithmPython

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

X Description: Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). - unkcpz/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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og:image:altSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch). - unkcpz/GeneticAlgorithmPython
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pygadhttps://github.com/ahmedfgad/GeneticAlgorithmPython
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https://github.com/ahmedfgad/NumPyANNhttps://github.com/ahmedfgad/NumPyANN
pygad.gannhttps://github.com/ahmedfgad/NeuralGenetic
https://github.com/ahmedfgad/NeuralGenetichttps://github.com/ahmedfgad/NeuralGenetic
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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
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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
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