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文章基本信息

  • 标题:A Machine Learning Gateway for Scientific Workflow Design
  • 本地全文:下载
  • 作者:Brian Broll ; Umesh Timalsina ; Péter Völgyesi
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2020
  • 卷号:2020
  • 页码:1-15
  • DOI:10.1155/2020/8867380
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The paper introduces DeepForge, a gateway to deep learning for scientific computing. DeepForge provides an easy to use, yet powerful visual/textual interface to facilitate the rapid development of deep learning models by novices as well as experts. Utilizing a cloud-based infrastructure, built-in version control, and multiuser collaboration support, DeepForge promotes reproducibility and ease of access and enables remote execution of machine learning pipelines. The tool currently supports TensorFlow/Keras, but its extensible architecture enables easy integration of additional platforms.

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