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Table 14 Age classification results

From: Effective hyperparameter optimization using Nelder-Mead method in deep learning

Method

Mean loss

Min loss

Random search

0.035694 (±0.006958)

0.026563

Bayesian optimization

0.024792 (±0.003076)

0.020466

CMA-ES

0.031244 (±0.010834)

0.016952

Coordinate-search method

0.032244 (±0.006109)

0.024637

Nelder-Mead method

0.015492 (±0.002276)

0.013556

Method

Mean accuracy (%)

Accuracy with min loss (%)

Random search

57.18 (±0.96)

57.90

Bayesian optimization

56.28 (±1.68)

57.19

CMA-ES

57.17 (±0.80)

58.19

Coordinate-search method

55.06 (±2.31)

56.98

Nelder-Mead method

56.72 (±0.50)

57.42

  1. The smallest loss for each experiment is indicated by bold-faced font