Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks

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Khalifa, Nour Eldeen M.; Taha, Mohamed Hamed N.; Hassanien, Aboul Ella; Selim, I. M.;
  • Subject: Computer Science - Computer Vision and Pattern Recognition

In this paper, a deep convolutional neural network architecture for galaxies classification is presented. The galaxy can be classified based on its features into main three categories Elliptical, Spiral, and Irregular. The proposed deep galaxies architecture consists of... View more
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