1. A Machine Learning Gateway for Scientific Workflow Design.
- Author
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Broll, Brian, Timalsina, Umesh, Völgyesi, Péter, Budavári, Tamás, and Lédeczi, Ákos
- Subjects
- *
MACHINE learning , *DEEP learning , *GATEWAYS (Computer networks) , *SCIENTIFIC computing , *WORKFLOW , *PIPELINES - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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