Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
Abstract Background In recent years, research in artificial neural networks has resurged, now under the deep-learning umbrella, and grown extremely popular. Recently reported success of DL techniques in crowd-sourced QSAR and predictive toxicology competitions has showcased these methods as powerful...
Main Authors: | Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li, Jun Huan |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-06-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13321-017-0226-y |
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