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. Author manuscript; available in PMC: 2021 Nov 17.
Published in final edited form as: Neural Comput. 2021 Apr 13;33(5):1300–1328. doi: 10.1162/neco_a_01374

Table 6:

Validation Errors at the End of the Training Period for a Fully Connected One-Hidden-Layer Network Trained on MNIST, with Different β Values.

β value Mean Validation Error (%) Minimum Validation Error (%) Maximum Validation Error (%)
0.01 89.70 89.70 89.70
0.1 90.09 90.09 90.09
0.25 46.20 2.28 90.09
0.5 2.19 2.17 2.21
0.75 2.42 2.22 2.51
1.0 2.36 2.26 2.48
1.2 23.30 2.36 85.91
1.5 2.62 2.40 2.75
2.0 79.55 79.55 79.55

Notes: For values that lay within the parameter range that converged to low (< 3%) validation errors, four trials were run, and the mean, minimum, and maximum errors over the trials have been reported. In all runs, γ = 1.