Research Article
Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning
Table 2
Hyperparameters of training models.
| ā | CNN architecture | AlexNet | GoogLeNet |
| Training epochs | 30 | Snapshot interval | 10 | Validation interval | 1 | Random seed | None | Batch size of training | 128 | 32 | Batch size of validation | 32 | 16 | Solver type | Stochastic gradient descent (SGD) | Base learning rate | 0.01 | Policy | Step down | Step size (%) | 33 | Gamma | 0.1 |
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