Research Article
Fingerspelling Identification for Chinese Sign Language via AlexNet-Based Transfer Learning and Adam Optimizer
Table 5
Comparison of different training algorithms.
| | Run | SGDM | RMSProp | Adam (ours) |
| | 1 | 87.04 | 89.63 | 91.48 | | 2 | 88.15 | 88.15 | 89.26 | | 3 | 87.04 | 90.37 | 89.26 | | 4 | 84.81 | 89.26 | 87.78 | | 5 | 87.41 | 88.15 | 89.26 | | 6 | 89.63 | 89.63 | 90.00 | | 7 | 92.22 | 87.41 | 89.26 | | 8 | 89.63 | 88.89 | 87.78 | | 9 | 87.78 | 88.89 | 90.00 | | 10 | 89.63 | 90.00 | 90.74 | | Mean ± SD | 88.33 ± 2.03 | 89.04 ± 0.93 | 89.48 ± 1.16 |
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