Copyright
©The Author(s) 2024.
World J Gastroenterol. Dec 28, 2024; 30(48): 5111-5129
Published online Dec 28, 2024. doi: 10.3748/wjg.v30.i48.5111
Published online Dec 28, 2024. doi: 10.3748/wjg.v30.i48.5111
Table 1 Experimental parameter settings
| Parameter name | Parameter value |
| Initial learning rate | 0.01 |
| Learning rate float | 0.01 |
| Epochs | 300 |
| Batch size | 16 |
| Optimizer | AdamW |
| Weight_decay | 0.0005 |
| Momentum | 0.937 |
- Citation: Xiao ZG, Chen XQ, Zhang D, Li XY, Dai WX, Liang WH. Image detection method for multi-category lesions in wireless capsule endoscopy based on deep learning models. World J Gastroenterol 2024; 30(48): 5111-5129
- URL: https://www.wjgnet.com/1007-9327/full/v30/i48/5111.htm
- DOI: https://dx.doi.org/10.3748/wjg.v30.i48.5111