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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 7:

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

γ value Mean Validation Error (%) Minimum Validation Error (%) Maximum Validation Error (%)
0.2 2.75 2.64 2.85
0.5 2.51 2.43 2.60
0.7 2.38 2.24 2.47
0.8 2.41 2.32 2.47
0.9 2.26 2.21 2.31
1.0 2.45 2.38 2.53
1.1 2.46 2.37 2.63
1.2 2.35 2.26 2.48
1.3 2.43 2.28 2.54
1.5 83.16 83.16 83.16
1.8 90.09 90.09 90.09

Notes: For parameters 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, β = 1.