Radio Galaxy Zoo Talk

Transfer learning for radio galaxy classification (Submitted on 28 Mar 2019)

  • zutopian by zutopian

    Transfer learning for radio galaxy classification
    Hongming Tang, Anna M. M. Scaife, J.P. Leahy
    (Submitted on 28 Mar 2019)

    In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to develop classification networks for future surveys is still unclear. One possible solution to address this issue is transfer learning, which re-uses elements of existing machine learning models for different applications. Here we present radio galaxy classification based on a 13-layer Deep Convolutional Neural Network (DCNN) using transfer learning methods between different radio surveys.(...)

    https://arxiv.org/abs/1903.11921

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