Deep learning regularization techniques to genomics data

Deep learning regularization techniques to genomics data

Deep Learning algorithms have achieved a great success in many domains where large scale datasets are used. However, training these algorithms on high dimensional data requires the adjustment of many parameters. Avoiding overfitting problem is difficult. Regularization techniques such as L1 and L2 a...

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Bibliographic Details
Main Authors: Harouna Soumare, Alia Benkahla, Nabil Gmati
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Array
Subjects:
Deep learning
Overfitting
Regularization techniques
Dropout
Genomics
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005621000163

Internet

http://www.sciencedirect.com/science/article/pii/S2590005621000163

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