Using transfer learning to detect galaxy mergers

  title={Using transfer learning to detect galaxy mergers},
  author={Sandro Ackermann and Kevin Schawinski and Ce Zhang and Anna K. Weigel and M. Dennis Turp},
We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detection of galaxy mergers. Moreover, we investigate the use of transfer learning in conjunction with CNNs, by retraining networks first trained on pictures of everyday objects. We test the hypothesis that transfer learning is useful for improving classification performance for small training sets. This would make transfer learning useful for finding rare objects in astronomical imaging datasets. We… 
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  • B. Hoyle
  • Computer Science, Physics
    Astron. Comput.
  • 2016
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  • Computer Science
    2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2017
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