. Author manuscript; available in PMC: 2022 Jun 20.

Published in final edited form as: Phys Med Biol. 2019 Feb 18;64(4):045018. doi: 10.1088/1361-6560/aafd50

Table 1.

Hyperparameter search space.

Parameter	Search values
Training dataset #	1, 2, 3
Batch size	50, 100, 500, 1000
Number of hidden layers	1–5
Layer width	65, 130, 260, 520
Input Gaussian noise	True or false
Input dropout probability	0, 0.1, 0.2
Hidden node dropout probability	0, 0.1, 0.2, 0.3, 0.4, 0.5
L2 weight decay	0, 10⁻⁵, 10⁻⁴