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. Author manuscript; available in PMC: 2019 Aug 11.
Published in final edited form as: Nat Mach Intell. 2019 Feb 11;1:95–104. doi: 10.1038/s42256-019-0019-2

Table 2.

Hyperparameter search ranges for DL network (first column) and optimum hyperparameter values in final model (second column)

Hyperparameter Search Range Optimized Value
  Dropout [0.1, 0.9] 0.71
  # of nodes in hidden layers [75, 250] 78
  Latent code dimensionality (h) [5, 20] 13
  Reconstruction loss penalty (α) [0.3, 0.7] 0.6
  Learning Rate [10−6, 10−4.5] 10−4.86
  L1 regularization penalty [10−7, 10−4] 10−5.65