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Artificial Neural Networks and Deep Learning for Genomic Prediction of Continuous Outcomes

  • Montesinos López O
  • Montesinos López A
  • Crossa J
Springer International Publishing, (2022), 427-476
DOI: 10.1007/978-3-030-89010-0_11
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Abstract

This chapter provides elements for implementing deep neural networks (deep learning) for continuous outcomes. We give details of the hyperparameters to be tuned in deep neural networks and provide a general guide for doing this task with more probability of success....

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APA

Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022). Artificial Neural Networks and Deep Learning for Genomic Prediction of Continuous Outcomes. In Multivariate Statistical Machine Learning Methods for Genomic Prediction (pp. 427–476). Springer International Publishing. https://doi.org/10.1007/978-3-030-89010-0_11

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