Research Article
Cell Phenotype Classification Based on Joint of Texture Information and Multilayer Feature Extraction in DenseNet
Table 4
The performance evaluation based on different learning rates.
| | Learning rate (first 10 epochs) | Learning rate (second 10 epochs) | Weight decay value | Accuracy (%) |
| | 10−3 | 10−4 | 10−3 | 93.21 | | 10−3 | 10−4 | 10−2 | 93.37 | | 10−3 | 10−5 | 10−3 | 94.29 | | 10−3 | 10−5 | 10−2 | 94.42 | | 10−4 | 10−5 | 10−3 | 94.81 | | 10−4 | 10−5 | 10−2 | 94.93 | | 10−5 | 10−6 | 10−3 | 95.14 | | 10−5 | 10−6 | 10−2 | 95.59 | | 10−5 | 10−5 | 10−3 | 94.98 | | 10−5 | 10−5 | 10−2 | 95.08 |
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