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A Machine Learning Gateway for Scientific Workflow Design.

Authors :
Broll, Brian
Timalsina, Umesh
Völgyesi, Péter
Budavári, Tamás
Lédeczi, Ákos
Source :
Scientific Programming. 9/29/202, p1-15. 15p.
Publication Year :
2020

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]

Details

Language :
English
ISSN :
10589244
Database :
Academic Search Index
Journal :
Scientific Programming
Publication Type :
Academic Journal
Accession number :
146144520
Full Text :
https://doi.org/10.1155/2020/8867380