z-logo
open-access-imgOpen Access
Mcfly: Automated deep learning on time series
Author(s) -
Dafne van Kuppevelt,
Christiaan Meijer,
Florian Huber,
Atze van der Ploeg,
Sonja Georgievska,
Vincent T. van Hees
Publication year - 2020
Publication title -
softwarex
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 21
ISSN - 2352-7110
DOI - 10.1016/j.softx.2020.100548
Subject(s) - python (programming language) , deep learning , computer science , hyperparameter , artificial intelligence , machine learning , selection (genetic algorithm) , programming language
Deep learning is receiving increasing attention in the scientific community, but for researchers with no or limited machine learning experience it can be difficult to get started. In particular, the so-called hyperparameter selection, which is critical to successfully train a model, requires a good understanding of deep learning and some experience training models. We present mcfly, a Python package for deep learning for time series classification, designed to ease training by providing automated hyperparameter selection. We evaluated mcfly by organizing two workshops.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom