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Supplemental Material for Han et al., 2021

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posted on 27.01.2021, 16:16 by Junjie Han, Cedric Gondro, Kenneth Reid, Juan P. Steibel
Supplemental material contains the constraints for DL architecture, a summary of predictive performance for GBLUP/MLP/CNN models, the distributions of selected hyperparameters, and the architectures of DL models derived from other studies.

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Article title

Heuristic hyperparameter optimization of deep learning models for genomic prediction

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